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The first phone with liquid cooling inside! 🤯 The REDMAGIC 11 Pro uses a new AquaCore system that literally circulates fluorinated coolant inside the phone to pull heat away from the CPU and battery, keeping performance stable even in long gaming sessions. • First mass-produced phone with active liquid... show more

Ben Geskin

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297,528 次观看 • 10 个月前 •via X (Twitter)

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REDMAGIC 11 Pro unboxing and first look! The ultimate Android gaming phone with the first active liquid cooling system inside 🤯 • Snapdragon 8 Elite Gen 5 + RedCore R4 gaming chip • Industry-first AquaCore liquid cooling + 24,000 RPM TurboFan • 6.85” BOE X10 AMOLED, 144Hz, no notch, 3000Hz touch • Up to 24GB LPDDR5T RAM + 1TB UFS 4.1 Pro • 7,500 mAh battery, 80W wired + 80W wireless + reverse charging • Dual stereo speakers + 4D haptics + 520Hz shoulder triggers • 50MP Main (OIS) + 50MP Ultra Wide + 16MP UDC front • 3D ultrasonic fingerprint sensor, IPX8 water resistance • REDMAGIC OS 11.0 + Google Gemini + MORA AI • Priced at €699 (12+256GB), €799 (16+512GB), €999 (24GB+1TB) What do you think about it?

REDMAGIC 11 Pro unboxing and first look! The ultimate Android gaming phone with the first active liquid cooling system inside 🤯 • Snapdragon 8 Elite Gen 5 + RedCore R4 gaming chip • Industry-first AquaCore liquid cooling + 24,000 RPM TurboFan • 6.85” BOE X10 AMOLED, 144Hz, no notch, 3000Hz touch • Up to 24GB LPDDR5T RAM + 1TB UFS 4.1 Pro • 7,500 mAh battery, 80W wired + 80W wireless + reverse charging • Dual stereo speakers + 4D haptics + 520Hz shoulder triggers • 50MP Main (OIS) + 50MP Ultra Wide + 16MP UDC front • 3D ultrasonic fingerprint sensor, IPX8 water resistance • REDMAGIC OS 11.0 + Google Gemini + MORA AI • Priced at €699 (12+256GB), €799 (16+512GB), €999 (24GB+1TB) What do you think about it?

Ben Geskin

25,996 次观看 • 10 个月前

Advancing LOX/LCH4 Dual-Propellant Cooling for HANBIT-Micro INNOSPACE has successfully completed a series of combustion tests for its upgraded 4 kN-class liquid-methane kick-stage combustor for HANBIT-Micro. 🚀 Building on the 237-second long-duration ground test in May 2024, the combustor has been advanced with a Dual-Propellant Regenerative Cooling scheme. 📈 ⚙️ Unlike conventional single-propellant regenerative cooling, this approach utilizes both fuel and oxidizer as coolants, enabling: 🔹 Reduced feed pressure requirements 🔹 Lighter propellant tanks 🔹 Lower overall kick-stage mass 🔥 By preheating and vaporizing both coolants, the system also achieves: 🔹 Improved mixing efficiency 🔹 Shorter ignition delay 🔹 Enhanced combustion stability and efficiency 💡 Overcoming High Technical Barriers Most notably, the recent test validated stable regenerative cooling under low-pressure, subcritical conditions — a technically demanding regime — and mitigated the risks associated with using liquid oxygen (LOX) as a coolant. The application of a gas–gas swirl injector further demonstrated improved mixing performance. With this milestone, INNOSPACE continues to advance methane propulsion technology and enhance the maturity of the HANBIT-Micro kick-stage system. Please stay tuned for the next phase of development. 🙌 #SpaceInnovation #HANBITMicro #KickStage #MethaneEngine #RocketEngineering #SpaceTech

Advancing LOX/LCH4 Dual-Propellant Cooling for HANBIT-Micro INNOSPACE has successfully completed a series of combustion tests for its upgraded 4 kN-class liquid-methane kick-stage combustor for HANBIT-Micro. 🚀 Building on the 237-second long-duration ground test in May 2024, the combustor has been advanced with a Dual-Propellant Regenerative Cooling scheme. 📈 ⚙️ Unlike conventional single-propellant regenerative cooling, this approach utilizes both fuel and oxidizer as coolants, enabling: 🔹 Reduced feed pressure requirements 🔹 Lighter propellant tanks 🔹 Lower overall kick-stage mass 🔥 By preheating and vaporizing both coolants, the system also achieves: 🔹 Improved mixing efficiency 🔹 Shorter ignition delay 🔹 Enhanced combustion stability and efficiency 💡 Overcoming High Technical Barriers Most notably, the recent test validated stable regenerative cooling under low-pressure, subcritical conditions — a technically demanding regime — and mitigated the risks associated with using liquid oxygen (LOX) as a coolant. The application of a gas–gas swirl injector further demonstrated improved mixing performance. With this milestone, INNOSPACE continues to advance methane propulsion technology and enhance the maturity of the HANBIT-Micro kick-stage system. Please stay tuned for the next phase of development. 🙌 #SpaceInnovation #HANBITMicro #KickStage #MethaneEngine #RocketEngineering #SpaceTech

innospacecorp

18,949 次观看 • 6 个月前

Jane Street just showed the inside of their AI training data center in Texas. 4,032 GPUs. 56 racks. 8,000 km of fiber. liquid cooling running through every server because air cooling can't handle the heat anymore. but the part that got me was the origin story. Ron Minsky, who co-heads their technology group. said their first compute cluster was literally six Dell boxes stacked on top of each other at the end of a desk row. they called it "the hive." the trading systems sat out in the room with the traders because they wanted to be able to unplug them if something went wrong. at one point, someone vacuuming the office unplugged a live trading system in the middle of the day. from six Dell boxes and a vacuum cleaner incident to a liquid-cooled GPU data center processing trades in under 100 nanoseconds. that's a 20-year arc.

Jane Street just showed the inside of their AI training data center in Texas. 4,032 GPUs. 56 racks. 8,000 km of fiber. liquid cooling running through every server because air cooling can't handle the heat anymore. but the part that got me was the origin story. Ron Minsky, who co-heads their technology group. said their first compute cluster was literally six Dell boxes stacked on top of each other at the end of a desk row. they called it "the hive." the trading systems sat out in the room with the traders because they wanted to be able to unplug them if something went wrong. at one point, someone vacuuming the office unplugged a live trading system in the middle of the day. from six Dell boxes and a vacuum cleaner incident to a liquid-cooled GPU data center processing trades in under 100 nanoseconds. that's a 20-year arc.

Goshawk Trades

2,276,047 次观看 • 3 个月前

A rare insight into the stabilisation system of the Nike Ajax missile, deployed in the early Cold War around 1954 as part of the first operational radar-guided air defense network. Inside the guidance unit, the core was a high-speed mechanical gyro assembly spinning at roughly 20,000-30,000 RPM, using precision-machined rotors and air or fluid bearings to maintain inertial reference under extreme launch vibration. This gyro did not guide the missile directly, it acted as the stable reference frame that converted ground radar commands into precise attitude corrections. The missile itself used a powerful solid booster followed by a liquid sustainer, with cost per unit estimated in the $20,000, 1950s production scale for a system that could engage targets at 45 kms Video Source:- Inert Ordnance

A rare insight into the stabilisation system of the Nike Ajax missile, deployed in the early Cold War around 1954 as part of the first operational radar-guided air defense network. Inside the guidance unit, the core was a high-speed mechanical gyro assembly spinning at roughly 20,000-30,000 RPM, using precision-machined rotors and air or fluid bearings to maintain inertial reference under extreme launch vibration. This gyro did not guide the missile directly, it acted as the stable reference frame that converted ground radar commands into precise attitude corrections. The missile itself used a powerful solid booster followed by a liquid sustainer, with cost per unit estimated in the $20,000, 1950s production scale for a system that could engage targets at 45 kms Video Source:- Inert Ordnance

Ammanichanda

21,943 次观看 • 2 个月前

Ran 21 km (13.1 miles) — and the motor was still cold. That’s the detail that matters. 🤖 Honor was the clear dark horse in this year’s robot half marathon. They swept 1st, 2nd, and 3rd, and also posted a strong top-6 finish overall. What stands out to me is that this was not just about bigger motors, or a gait tuned for long-distance running. They seem to have solved something more important — cooling. In a post-race interview, Honor engineers said the robot used liquid-cooling tech adapted from Honor smartphones, with cooling lines running deep into the motor system to carry heat away. Some reports added more detail: the setup used two high-speed micro pumps, with flow rates reaching up to 6 liters per minute, giving the system enough cooling capacity to handle sustained lower-joint motor load. That matters because once a robot starts overheating, output drops, stability goes with it, and the whole run can fall apart fast. And that’s exactly why this detail is interesting. Of course, that does not mean Honor has already surpassed teams like TienKung or Unitree across humanoid robotics as a whole. What it does suggest is that for the marathon task, they built a very strong system solution. And honestly, that alone is already a useful case for the industry. The bigger trend is moving fast. Last year, TienKung won in around 2 hours 40 minutes. This year, the winning time dropped to 50 minutes 26 seconds. Last year, most robots were still fully remote-controlled or only semi-autonomous. This year, around 40% were running with a much higher level of autonomy. So to me, the real signal is not just that robots got faster. It’s that the field is now moving past raw speed, and into the harder problems: autonomy, stability, and system reliability under load. If the pace of progress stays anywhere close to this, then next year’s race should be even more worth watching.

Ran 21 km (13.1 miles) — and the motor was still cold. That’s the detail that matters. 🤖 Honor was the clear dark horse in this year’s robot half marathon. They swept 1st, 2nd, and 3rd, and also posted a strong top-6 finish overall. What stands out to me is that this was not just about bigger motors, or a gait tuned for long-distance running. They seem to have solved something more important — cooling. In a post-race interview, Honor engineers said the robot used liquid-cooling tech adapted from Honor smartphones, with cooling lines running deep into the motor system to carry heat away. Some reports added more detail: the setup used two high-speed micro pumps, with flow rates reaching up to 6 liters per minute, giving the system enough cooling capacity to handle sustained lower-joint motor load. That matters because once a robot starts overheating, output drops, stability goes with it, and the whole run can fall apart fast. And that’s exactly why this detail is interesting. Of course, that does not mean Honor has already surpassed teams like TienKung or Unitree across humanoid robotics as a whole. What it does suggest is that for the marathon task, they built a very strong system solution. And honestly, that alone is already a useful case for the industry. The bigger trend is moving fast. Last year, TienKung won in around 2 hours 40 minutes. This year, the winning time dropped to 50 minutes 26 seconds. Last year, most robots were still fully remote-controlled or only semi-autonomous. This year, around 40% were running with a much higher level of autonomy. So to me, the real signal is not just that robots got faster. It’s that the field is now moving past raw speed, and into the harder problems: autonomy, stability, and system reliability under load. If the pace of progress stays anywhere close to this, then next year’s race should be even more worth watching.

RoboHub🤖

60,151 次观看 • 4 个月前

Apple developed a process to 3D print the titanium case for its Watch at scale (Ultra 3, Series 11). It uses 50% the raw material compared to old models and made interesting calls on material sciences / manufacturing: 1️⃣ Take 100% recycled raw titanium powder. 2️⃣ Atomizes the powder to 50 microns in diameter and “fine-tune oxygen content to decrease the qualities of titanium that become explosive when exposed to heat”. 3️⃣ A 3D printing machine with 6 lasers simultaneously prints a layer and repeats the process 900x (takes 20 hours). 4️⃣ “Once the printers are done working, an operator vacuums excess powder off the build plate in a process called rough depowdering. Because the builds are printed to the near-final shape for all of the interlocks needed on the enclosure, powder can still sit in the nooks and crannies of the cases. An ultrasonic shaker ensures this remaining powder is removed during the fine depowdering phase.” 5️⃣ A thin electrified wire separates each case in a process called singulation (liquid coolant is sprayed so the wire isn’t too hot). 6️⃣ Final step is an automated optical inspection system that measures each case to make sure dimensions and cosmetics look right. A major unlock from the 3D printing process is to improve the Watch’s waterproof-ness. The inner surface of this case allows better bonding between plastic and metal to protect the antennae in cellular models. Overall, it’s expected to save on 400 metric tons of raw titanium (as compared to previous generations). *** Full read here:

Apple developed a process to 3D print the titanium case for its Watch at scale (Ultra 3, Series 11). It uses 50% the raw material compared to old models and made interesting calls on material sciences / manufacturing: 1️⃣ Take 100% recycled raw titanium powder. 2️⃣ Atomizes the powder to 50 microns in diameter and “fine-tune oxygen content to decrease the qualities of titanium that become explosive when exposed to heat”. 3️⃣ A 3D printing machine with 6 lasers simultaneously prints a layer and repeats the process 900x (takes 20 hours). 4️⃣ “Once the printers are done working, an operator vacuums excess powder off the build plate in a process called rough depowdering. Because the builds are printed to the near-final shape for all of the interlocks needed on the enclosure, powder can still sit in the nooks and crannies of the cases. An ultrasonic shaker ensures this remaining powder is removed during the fine depowdering phase.” 5️⃣ A thin electrified wire separates each case in a process called singulation (liquid coolant is sprayed so the wire isn’t too hot). 6️⃣ Final step is an automated optical inspection system that measures each case to make sure dimensions and cosmetics look right. A major unlock from the 3D printing process is to improve the Watch’s waterproof-ness. The inner surface of this case allows better bonding between plastic and metal to protect the antennae in cellular models. Overall, it’s expected to save on 400 metric tons of raw titanium (as compared to previous generations). *** Full read here:

Trung Phan

158,048 次观看 • 9 个月前

Elon Musk just unveiled SpaceXAI's first AI satellite. • 150 kW peak power / 120 kW sustained compute power • 150 kW solar array using SpaceX-manufactured solar technology • Centralized AI compute payload designed for high-performance AI workloads • 70-meter wingspan when fully deployed • 110 m² deployable liquid radiators to remove waste heat in space • Redundant cooling loops with integrated micrometeoroid shielding • Designed to launch on Starship, enabling the mass-to-orbit needed for large-scale space computing • Uses laser links while avoiding many of the complex communications systems required by Starlink satellites • SpaceX believes future versions can scale far beyond this first design Elon Musk says the path to scaling AI in space requires 3 things: • Massive launch capability (Starship) • Enormous solar power generation • Large radiators to reject heat from AI chips He also suggested that truly large-scale orbital AI could eventually require hundreds of gigawatts to a terawatt of power, implying millions of tons of infrastructure in orbit.

Elon Musk just unveiled SpaceXAI's first AI satellite. • 150 kW peak power / 120 kW sustained compute power • 150 kW solar array using SpaceX-manufactured solar technology • Centralized AI compute payload designed for high-performance AI workloads • 70-meter wingspan when fully deployed • 110 m² deployable liquid radiators to remove waste heat in space • Redundant cooling loops with integrated micrometeoroid shielding • Designed to launch on Starship, enabling the mass-to-orbit needed for large-scale space computing • Uses laser links while avoiding many of the complex communications systems required by Starlink satellites • SpaceX believes future versions can scale far beyond this first design Elon Musk says the path to scaling AI in space requires 3 things: • Massive launch capability (Starship) • Enormous solar power generation • Large radiators to reject heat from AI chips He also suggested that truly large-scale orbital AI could eventually require hundreds of gigawatts to a terawatt of power, implying millions of tons of infrastructure in orbit.

DogeDesigner

138,388 次观看 • 2 个月前

Ever wondered why they heat asphalt in tankers? At first, it seems unnecessary. After all, it's just a truck carrying asphalt. But asphalt only behaves like a liquid when it's extremely hot. During transport, it's usually kept between 150 and 180°C so it can still be pumped out once it arrives. The moment it starts cooling, it gets thicker and stickier really fast. Leave it long enough, and it can harden inside the tank. At that point, unloading becomes a nightmare, and the whole tanker may need to be heated again before anything can come out. That's why those tankers stay hot for the entire trip. They're not trying to make the asphalt hotter. They're simply stopping it from turning into a giant block of black rock before it reaches the road.

Ever wondered why they heat asphalt in tankers? At first, it seems unnecessary. After all, it's just a truck carrying asphalt. But asphalt only behaves like a liquid when it's extremely hot. During transport, it's usually kept between 150 and 180°C so it can still be pumped out once it arrives. The moment it starts cooling, it gets thicker and stickier really fast. Leave it long enough, and it can harden inside the tank. At that point, unloading becomes a nightmare, and the whole tanker may need to be heated again before anything can come out. That's why those tankers stay hot for the entire trip. They're not trying to make the asphalt hotter. They're simply stopping it from turning into a giant block of black rock before it reaches the road.

Did You Know

24,790 次观看 • 2 个月前

This is mind ATP Synthase The energy pump that powers every cell in every lifeform on Earth, slowed down by over 1,000x. Without ATP Synthase, life cannot exist. This little nano-machine is made up of a minimum of 8 distinct proteins, all designed perfectly to fit together and operate in a coordinated system that takes in ADP and turns it into ATP, which the cell uses to power metabolic processes. It's designed to only allow certain molecules in & out. Any mistakes, and it could flood the cell with toxic waste in a matter of seconds, killing everything. Each protein building block must fit perfectly together, much like all the pieces inside your phone. Without all the proteins fit & working together from the start, ATP Synthase cannot function, and Life cannot exist. But making things even more complex, ATP Synthase doesn't operate alone. It's located inside the cell membrane, where it actively works with other molecules to ensure the ATP it creates gets to the right place. It's a whole integrated network of energy movement within each cell, without which, Life could not exist. All these pieces must exist together, from the beginning, for Life to be possible. Which means it can't arise piece by piece through evolution - because the very process of evolution requires the whole system. Life requires this system in order to produce the energy it needs to replicate & evolve - but replication & evolution is supposed to have created it. You can't have one without the other. There are no simpler versions - it's literally all or nothing. This is clear evidence of an intelligently designed system. What more evidence do you need?

This is mind ATP Synthase The energy pump that powers every cell in every lifeform on Earth, slowed down by over 1,000x. Without ATP Synthase, life cannot exist. This little nano-machine is made up of a minimum of 8 distinct proteins, all designed perfectly to fit together and operate in a coordinated system that takes in ADP and turns it into ATP, which the cell uses to power metabolic processes. It's designed to only allow certain molecules in & out. Any mistakes, and it could flood the cell with toxic waste in a matter of seconds, killing everything. Each protein building block must fit perfectly together, much like all the pieces inside your phone. Without all the proteins fit & working together from the start, ATP Synthase cannot function, and Life cannot exist. But making things even more complex, ATP Synthase doesn't operate alone. It's located inside the cell membrane, where it actively works with other molecules to ensure the ATP it creates gets to the right place. It's a whole integrated network of energy movement within each cell, without which, Life could not exist. All these pieces must exist together, from the beginning, for Life to be possible. Which means it can't arise piece by piece through evolution - because the very process of evolution requires the whole system. Life requires this system in order to produce the energy it needs to replicate & evolve - but replication & evolution is supposed to have created it. You can't have one without the other. There are no simpler versions - it's literally all or nothing. This is clear evidence of an intelligently designed system. What more evidence do you need?

Divinely Designed

28,434 次观看 • 3 个月前

I Control the Cold ❄️ | Venustas Heated Jacket in Action. No matter how harsh the winter or the challenges I face while setting up camp, I control my comfort and warmth with Venustas Heated Jacket — my ultimate companion for extreme conditions.🔥 Super Warm in Seconds:Venustas-Warm™ Heating Technology — Engineered to Revolutionize Warmth and Comfort. With one button, the jacket heats up in just 3 seconds, reaching up to 140°F — 65°F warmer than regular jackets. Whether I’m outside in heavy snow or inside my tent, I adjust the warmth to my needs.🔧 Temperature Control:Three heat settings (red-high, white-medium, blue-low) let me switch temperatures effortlessly. After working outside, I easily lower the heat to stay comfortable.❄️ Stay Dry, Stay Warm:Designed with V-TECH™ All-Weather Technology and V-HEAT™ Silver Ion Thermal Lining, this jacket is waterproof, windproof, and breathable — perfect for brushing off heavy snow and staying dry without losing airflow.🎒 Functionality Meets Comfort: • 7 practical pockets for tools and essentials • Lightweight yet warm as toast thanks to FELLEX® insulation • Battery that charges my phone when I forget my power bankWith Venustas, I take on winter with confidence and stay warm wherever my adventures take me.🛒 Discover More:Visit the Venustas Official Website and use code MARUSYA for 20% OFF!✨ Follow Venustas Heated Apparel for updates and the latest heated gear! #venustas #venustasheatedapparel #venustasheatedJacket #venustasheatedvest #heatedjacket #heatedvest

I Control the Cold ❄️ | Venustas Heated Jacket in Action. No matter how harsh the winter or the challenges I face while setting up camp, I control my comfort and warmth with Venustas Heated Jacket — my ultimate companion for extreme conditions.🔥 Super Warm in Seconds:Venustas-Warm™ Heating Technology — Engineered to Revolutionize Warmth and Comfort. With one button, the jacket heats up in just 3 seconds, reaching up to 140°F — 65°F warmer than regular jackets. Whether I’m outside in heavy snow or inside my tent, I adjust the warmth to my needs.🔧 Temperature Control:Three heat settings (red-high, white-medium, blue-low) let me switch temperatures effortlessly. After working outside, I easily lower the heat to stay comfortable.❄️ Stay Dry, Stay Warm:Designed with V-TECH™ All-Weather Technology and V-HEAT™ Silver Ion Thermal Lining, this jacket is waterproof, windproof, and breathable — perfect for brushing off heavy snow and staying dry without losing airflow.🎒 Functionality Meets Comfort: • 7 practical pockets for tools and essentials • Lightweight yet warm as toast thanks to FELLEX® insulation • Battery that charges my phone when I forget my power bankWith Venustas, I take on winter with confidence and stay warm wherever my adventures take me.🛒 Discover More:Visit the Venustas Official Website and use code MARUSYA for 20% OFF!✨ Follow Venustas Heated Apparel for updates and the latest heated gear! #venustas #venustasheatedapparel #venustasheatedJacket #venustasheatedvest #heatedjacket #heatedvest

Marusya Shiklina

20,011 次观看 • 1 年前

train station in Nantes opened in 2020 with no air conditioning. The design promised it would regulate its own temperature in extreme heat. Six years later, when it's 26°C outside, it's 32°C inside. They're bolting on giant fans to fix it. The building has large glass walls. That's the whole problem in one sentence. Glass admits solar radiation, traps the heat inside (the greenhouse effect, the same physics that warms your car in a parking lot), and a structure with big glazed facades facing the sun will get hotter than the air outside no matter what the design brief promised. You cannot passively "self-regulate" your way out of solar gain through that much glass during a heatwave. Physics doesn't read the architectural statement. I (Skander Garroum) wrote an essay a while back about Europe's strange denial around air conditioning, the cultural conviction that AC is an American excess Europeans are too virtuous to need. This station is that denial poured into concrete and glass. The intention was admirable: build a station that stays comfortable without the energy cost of mechanical cooling. The execution ignored that the building's own form (sun-facing glass, an open hall) made passive cooling impossible from day one. The deeper issue is that Europe is designing buildings for a climate that no longer exists. The Nantes station was conceived when European summers were milder and a heatwave was a rare event. The thermal model assumed a cooler baseline. Then the baseline moved. Summers that used to peak in the low 30s now push higher and last longer. A building designed for the old normal becomes a kettle in the new one. Via Skander Garroum (this is France but the Denial is global you See just everywhere)

train station in Nantes opened in 2020 with no air conditioning. The design promised it would regulate its own temperature in extreme heat. Six years later, when it's 26°C outside, it's 32°C inside. They're bolting on giant fans to fix it. The building has large glass walls. That's the whole problem in one sentence. Glass admits solar radiation, traps the heat inside (the greenhouse effect, the same physics that warms your car in a parking lot), and a structure with big glazed facades facing the sun will get hotter than the air outside no matter what the design brief promised. You cannot passively "self-regulate" your way out of solar gain through that much glass during a heatwave. Physics doesn't read the architectural statement. I (Skander Garroum) wrote an essay a while back about Europe's strange denial around air conditioning, the cultural conviction that AC is an American excess Europeans are too virtuous to need. This station is that denial poured into concrete and glass. The intention was admirable: build a station that stays comfortable without the energy cost of mechanical cooling. The execution ignored that the building's own form (sun-facing glass, an open hall) made passive cooling impossible from day one. The deeper issue is that Europe is designing buildings for a climate that no longer exists. The Nantes station was conceived when European summers were milder and a heatwave was a rare event. The thermal model assumed a cooler baseline. Then the baseline moved. Summers that used to peak in the low 30s now push higher and last longer. A building designed for the old normal becomes a kettle in the new one. Via Skander Garroum (this is France but the Denial is global you See just everywhere)

Thomas Reis

62,589 次观看 • 2 个月前

$Have a look at one of the greatest examples of industrial engineering art ever created. This is the rotor assembly of the Ansaldo Energia GT36, one of the most advanced heavy-duty gas turbines ever developed. What looks like a collection of polished metal blades is actually the result of 3.7 million hours of engineering, combining decades of research in aerodynamics, combustion, metallurgy, cooling systems and precision manufacturing. A gas turbine works by compressing enormous volumes of air, mixing it with fuel, burning it at extreme temperatures, and extracting energy from the expanding gases through multiple turbine stages. That is why no two blade rows look the same. Across this rotor assembly, the colours, shapes and surface finishes constantly change because each section is solving a different problem. Some blades are designed to move and control massive airflow volumes, while others must survive the most extreme environment inside the machine. The most advanced turbine blades contain microscopic internal cooling channels. The cooling does not come from room-temperature air. Compressed air extracted from the compressor section already heated to 650 degrees Celsius, is redirected through passages inside the blade. It then exits through thousands of tiny holes, creating a thin protective cooling film in real time 24/7 over the surface of the blades while the surrounding combustion gases exceed 1,500°C all while rotating at 3000 RPM. A blade is not surviving because the metal alone can withstand the heat. It survives because engineers created a controlled thermal environment around it. The blades rely on advanced nickel-based superalloys containing elements such as rhenium, tungsten, cobalt and chromium, protected by metallic bond coats and ceramic thermal barrier coatings such as yttria-stabilised zirconia. These coatings are one of the most closely guarded proprietary technologies in turbine manufacturing. Every blade requires precision casting, advanced machining, laser drilling and microscopic inspection. A manufacturing defect measured in fractions of a millimetre can affect a rotor weighing around 150 tonnes and spinning at 3,000 RPM. The complete GT36 turbine system weighs around 520 tonnes and, in its most efficient combined-cycle configuration, can produce approximately 800 MW of electricity at around 64% efficiency enough to supply roughly 500,000+ homes. A complete power plant built around a machine like this can cost around $500-600 million, but the true value is not the steel and turbine machinery. It is the industrial capability and know how required to build a machine designed to operate for 30+ years and more than 100,000 equivalent operating hours, while repeatedly surviving one of the harshest environments humans have ever engineered. This is what the peak of industrial engineering looks like before it starts moving, this is what powers the world. Engineering is Art Video by AnsaldoEnergia$

Have a look at one of the greatest examples of industrial engineering art ever created. This is the rotor assembly of the Ansaldo Energia GT36, one of the most advanced heavy-duty gas turbines ever developed. What looks like a collection of polished metal blades is actually the result of 3.7 million hours of engineering, combining decades of research in aerodynamics, combustion, metallurgy, cooling systems and precision manufacturing. A gas turbine works by compressing enormous volumes of air, mixing it with fuel, burning it at extreme temperatures, and extracting energy from the expanding gases through multiple turbine stages. That is why no two blade rows look the same. Across this rotor assembly, the colours, shapes and surface finishes constantly change because each section is solving a different problem. Some blades are designed to move and control massive airflow volumes, while others must survive the most extreme environment inside the machine. The most advanced turbine blades contain microscopic internal cooling channels. The cooling does not come from room-temperature air. Compressed air extracted from the compressor section already heated to 650 degrees Celsius, is redirected through passages inside the blade. It then exits through thousands of tiny holes, creating a thin protective cooling film in real time 24/7 over the surface of the blades while the surrounding combustion gases exceed 1,500°C all while rotating at 3000 RPM. A blade is not surviving because the metal alone can withstand the heat. It survives because engineers created a controlled thermal environment around it. The blades rely on advanced nickel-based superalloys containing elements such as rhenium, tungsten, cobalt and chromium, protected by metallic bond coats and ceramic thermal barrier coatings such as yttria-stabilised zirconia. These coatings are one of the most closely guarded proprietary technologies in turbine manufacturing. Every blade requires precision casting, advanced machining, laser drilling and microscopic inspection. A manufacturing defect measured in fractions of a millimetre can affect a rotor weighing around 150 tonnes and spinning at 3,000 RPM. The complete GT36 turbine system weighs around 520 tonnes and, in its most efficient combined-cycle configuration, can produce approximately 800 MW of electricity at around 64% efficiency enough to supply roughly 500,000+ homes. A complete power plant built around a machine like this can cost around $500-600 million, but the true value is not the steel and turbine machinery. It is the industrial capability and know how required to build a machine designed to operate for 30+ years and more than 100,000 equivalent operating hours, while repeatedly surviving one of the harshest environments humans have ever engineered. This is what the peak of industrial engineering looks like before it starts moving, this is what powers the world. Engineering is Art Video by AnsaldoEnergia

Ammanichanda

101,294 次观看 • 1 个月前

HOW TO COOL AI SERVERS IN LOW EARTH ORBIT—SOLVED - Revolutionary Cooling for Space-Based AI: Adapting JWST’s Acoustic Cryogenic System for the Next Frontier The unforgiving vacuum of space, where temperatures plummet to near absolute zero, managing heat is a paradoxical challenge. Satellites and spacecraft generate internal warmth from electronics, processors, and power systems, but they can’t rely on air or water for dissipation—there’s no atmosphere to conduct it away. Traditional methods like radiative heat sinks have served us well, beaming excess thermal energy into the void as infrared radiation. Yet, as we push toward deploying massive AI servers in orbit—think constellations of edge-computing nodes for real-time data analysis, autonomous satellite swarms, or even orbital supercomputers—these old reliables fall short. Enter the James Webb Space Telescope’s (JWST) ingenious cryogenic cooling system, which leverages acoustic waves to chill instruments to just 7 Kelvin (-266°C). This isn’t science fiction; it’s proven technology that’s already orbiting 1.5 million kilometers from Earth. In this article, we’ll explore how this system can be repurposed to cool space-based AI servers, and why it’s not just superior but the lowest-cost option compared to radiative sinks, thermoelectric coolers, or other alternatives. The JWST Cooling Marvel: Sound Waves as the Ultimate Chill Factor At the heart of JWST’s success is its ability to maintain ultra-low temperatures for its sensitive infrared detectors, which peer into the universe’s coolest phenomena—like distant galaxies shrouded in cosmic dust. Unlike optical telescopes that can tolerate room temperature, JWST’s instruments demand cryogenic conditions to suppress thermal noise, ensuring faint signals aren’t drowned out by the hardware’s own heat. The star of the show is the pulse-tube cryocooler, a mechanical refrigerator that uses sound waves—specifically, oscillating pressure waves generated by a pair of piston-like pumps—to drive a refrigeration cycle without any moving parts in the cold sections. Here’s how it breaks down: 1The Acoustic Engine: Linear compressors (essentially high-frequency pistons) create rhythmic pressure pulses, akin to a low-hum rumble from a subwoofer. These “sound waves” propagate through a tube filled with high-pressure helium gas, compressing and expanding it rhythmically. 2The Regenerator Magic: The waves pass through a porous regenerator matrix (made of materials like lead spheres or rare-earth compounds) that stores and releases “coldness.” As the helium expands in the cold end, it absorbs heat from the telescope’s optics; on the compression stroke, that heat is shuttled back toward the warmer sections. 3Multi-Stage Precision: JWST employs a three-stage setup. The first two stages cool to around 18K and 50K using passive techniques like Joule-Thomson expansion (where gas cools as it expands through a valve). The third stage, the pulse-tube heart, drops the mid-infrared instrument (MIRI) to 7K. This staged approach minimizes power draw while maximizing efficiency. 4Heat Exile via Exchangers: Waste heat from the warm end—peaking at about 27°C from electronics and compressors—is captured by compact heat exchangers. These finned, aerospace-grade radiators then radiate it away, often aided by the spacecraft’s deliberate “wobble” (a 2 RPM rotation) to evenly expose surfaces to deep space. No massive fins needed; the system is sleeker than a smartphone. This setup consumes just 200-300 watts—less than a desktop PC—yet cools to temperatures unattainable by passive means. It’s vibration-isolated too, with counter-rotating pumps canceling out shakes that could blur JWST’s pinpoint images. Proven over years in orbit, it’s a testament to engineering elegance: turning sound into silence, heat into cosmic clarity. 1 of 3

HOW TO COOL AI SERVERS IN LOW EARTH ORBIT—SOLVED - Revolutionary Cooling for Space-Based AI: Adapting JWST’s Acoustic Cryogenic System for the Next Frontier The unforgiving vacuum of space, where temperatures plummet to near absolute zero, managing heat is a paradoxical challenge. Satellites and spacecraft generate internal warmth from electronics, processors, and power systems, but they can’t rely on air or water for dissipation—there’s no atmosphere to conduct it away. Traditional methods like radiative heat sinks have served us well, beaming excess thermal energy into the void as infrared radiation. Yet, as we push toward deploying massive AI servers in orbit—think constellations of edge-computing nodes for real-time data analysis, autonomous satellite swarms, or even orbital supercomputers—these old reliables fall short. Enter the James Webb Space Telescope’s (JWST) ingenious cryogenic cooling system, which leverages acoustic waves to chill instruments to just 7 Kelvin (-266°C). This isn’t science fiction; it’s proven technology that’s already orbiting 1.5 million kilometers from Earth. In this article, we’ll explore how this system can be repurposed to cool space-based AI servers, and why it’s not just superior but the lowest-cost option compared to radiative sinks, thermoelectric coolers, or other alternatives. The JWST Cooling Marvel: Sound Waves as the Ultimate Chill Factor At the heart of JWST’s success is its ability to maintain ultra-low temperatures for its sensitive infrared detectors, which peer into the universe’s coolest phenomena—like distant galaxies shrouded in cosmic dust. Unlike optical telescopes that can tolerate room temperature, JWST’s instruments demand cryogenic conditions to suppress thermal noise, ensuring faint signals aren’t drowned out by the hardware’s own heat. The star of the show is the pulse-tube cryocooler, a mechanical refrigerator that uses sound waves—specifically, oscillating pressure waves generated by a pair of piston-like pumps—to drive a refrigeration cycle without any moving parts in the cold sections. Here’s how it breaks down: 1The Acoustic Engine: Linear compressors (essentially high-frequency pistons) create rhythmic pressure pulses, akin to a low-hum rumble from a subwoofer. These “sound waves” propagate through a tube filled with high-pressure helium gas, compressing and expanding it rhythmically. 2The Regenerator Magic: The waves pass through a porous regenerator matrix (made of materials like lead spheres or rare-earth compounds) that stores and releases “coldness.” As the helium expands in the cold end, it absorbs heat from the telescope’s optics; on the compression stroke, that heat is shuttled back toward the warmer sections. 3Multi-Stage Precision: JWST employs a three-stage setup. The first two stages cool to around 18K and 50K using passive techniques like Joule-Thomson expansion (where gas cools as it expands through a valve). The third stage, the pulse-tube heart, drops the mid-infrared instrument (MIRI) to 7K. This staged approach minimizes power draw while maximizing efficiency. 4Heat Exile via Exchangers: Waste heat from the warm end—peaking at about 27°C from electronics and compressors—is captured by compact heat exchangers. These finned, aerospace-grade radiators then radiate it away, often aided by the spacecraft’s deliberate “wobble” (a 2 RPM rotation) to evenly expose surfaces to deep space. No massive fins needed; the system is sleeker than a smartphone. This setup consumes just 200-300 watts—less than a desktop PC—yet cools to temperatures unattainable by passive means. It’s vibration-isolated too, with counter-rotating pumps canceling out shakes that could blur JWST’s pinpoint images. Proven over years in orbit, it’s a testament to engineering elegance: turning sound into silence, heat into cosmic clarity. 1 of 3

Brian Roemmele

264,858 次观看 • 9 个月前

Morgan Stanley just dropped numbers that should make every investor pay attention (Save this). Hyperscalers spent $261B in 2024, they're now projected to spend $1.4T in 2028, a 5x increase in four years and that doesn't even include OpenAI or Anthropic. For the first time, Morgan Stanley is classifying SpaceX as a legitimate hyperscaler alongside Google, Amazon, Microsoft, and Meta. All of it flows into chips, data centers and memory and the supply chain companies sitting beneath the hyperscalers are the ones that will compound quietly. The most underrated play is memory. Micron is the only American HBM supplier, giving it a structural edge in government AI contracts that Samsung and SK Hynix cannot touch. Its entire 2026 HBM4 production is already sold out, revenue nearly tripled to $23.9B, and the memory prices are roughly doubling every year. The cooling problem is one of the most profitable bottlenecks in this entire trade. Vertiv makes the power management, liquid cooling systems and racks that keep GPU clusters from melting and it's up over 100% year to date in 2026 with a $15B+ backlog and guidance raised to $13.5–$14B in full year revenue. Arista Networks (ANET) is the networking infrastructure play, every AI data center needs ultra high speed networking fabric to connect thousands of GPUs together And Arista just doubled its 2026 AI revenue target as the industry shifts from proprietary InfiniBand to Open Ethernet, a shift that plays directly into Arista's strengths. Astera Labs solves the interconnect bottleneck inside data centers, the problem of getting data between chips fast enough to keep up with the GPUs. Revenue grew 93% year over year, it's already profitable, and its customers are Microsoft and Amazon directly. The hyperscalers are the miners and the real money is in the companies selling them the shovels, the electricity, the memory, the cooling, the networking, and the custom silicon. Make sure to follow me Melvin for more underrated infrastructure plays.

Morgan Stanley just dropped numbers that should make every investor pay attention (Save this). Hyperscalers spent $261B in 2024, they're now projected to spend $1.4T in 2028, a 5x increase in four years and that doesn't even include OpenAI or Anthropic. For the first time, Morgan Stanley is classifying SpaceX as a legitimate hyperscaler alongside Google, Amazon, Microsoft, and Meta. All of it flows into chips, data centers and memory and the supply chain companies sitting beneath the hyperscalers are the ones that will compound quietly. The most underrated play is memory. Micron is the only American HBM supplier, giving it a structural edge in government AI contracts that Samsung and SK Hynix cannot touch. Its entire 2026 HBM4 production is already sold out, revenue nearly tripled to $23.9B, and the memory prices are roughly doubling every year. The cooling problem is one of the most profitable bottlenecks in this entire trade. Vertiv makes the power management, liquid cooling systems and racks that keep GPU clusters from melting and it's up over 100% year to date in 2026 with a $15B+ backlog and guidance raised to $13.5–$14B in full year revenue. Arista Networks (ANET) is the networking infrastructure play, every AI data center needs ultra high speed networking fabric to connect thousands of GPUs together And Arista just doubled its 2026 AI revenue target as the industry shifts from proprietary InfiniBand to Open Ethernet, a shift that plays directly into Arista's strengths. Astera Labs solves the interconnect bottleneck inside data centers, the problem of getting data between chips fast enough to keep up with the GPUs. Revenue grew 93% year over year, it's already profitable, and its customers are Microsoft and Amazon directly. The hyperscalers are the miners and the real money is in the companies selling them the shovels, the electricity, the memory, the cooling, the networking, and the custom silicon. Make sure to follow me Melvin for more underrated infrastructure plays.

Melvin

36,068 次观看 • 1 个月前

Model 3/Y Achilles’ Heel – The Maintenance Nobody Expects Over the past multiple months, we’ve been analysing one of the most overlooked causes of Model 3/Y battery overheating, compressor failures, and HVAC-related powertrain issues. Most people assume the problem starts with the compressor, software, or the heat pump itself. It doesn’t. We’ve also seen many third-party workshops incorrectly servicing heat pump systems. Instead of properly evacuating the refrigerant and compressor oil by opening the Octovalve, they recover only part of the system and then add around 1,000 g of new refrigerant on top of the 500 g still trapped inside - and statement were “ah it was only missing gas issue”. The result is an overcharged system that can destroy HVAC components. What many don’t realise is that HVAC is one of the most critical systems in an EV. Just 30 seconds of insufficient cooling can overheat components such as the OBC (for example Kia ICCU), damage an Audi e-tron drive unit and inverter, or, in the worst case, overheat the battery pack. A single severe overheating event can permanently and irreversibly damage battery cells. What surprised us most was that, on the Model 3/Y, the root cause often isn’t a faulty HVAC component or software. It’s the radiator design. The front heat exchangers compartement act like a road vacuum cleaner, trapping dirt so deeply inside the honeycomb that airflow is dramatically reduced. Cooling performance gradually degrades until it starts triggering failures across the entire powertrain. Owners often keep replacing the consequences while never finding the real cause. This is something what reduce the range-soh and increases Wh/km and mostly known situation “hey i drove my tesla from 100% to 0% and it has only 60kWh, not 74kWh” Recommendation on HVAC servises is to contact NRF (Nederlandse Radiateuren Fabriek) experts and take the full training session how to properly service it. (we will too) Our recommendation for every Tesla Model 3/Y owner: * Visit highly skilled worksop to Clean the radiator pack using a dedicated chemical cleaner to dissolve embedded dirt. * Flush thoroughly with low-pressure water (such as at a self-service car wash). * This is not a simple DIY job. Proper access requires partial disassembly and typically takes 2–4 working hours. * Every 80000-120000km Protect your battery. Protect your HVAC. Available at: * EV Clinic Stupnik * EV Clinic Mlaka * EV Clinic Ljubljana * EV Clinic Belgrade * EV Clinic Budapest * EV Clinic Paris * EV Clinic Berlin * EV Clinic Amstetten (soon) * EV Clinic Copenhagen (soon) * EV Clinic Istanbul (soon) * EV Clinic Innsbruck (soon)

Model 3/Y Achilles’ Heel – The Maintenance Nobody Expects Over the past multiple months, we’ve been analysing one of the most overlooked causes of Model 3/Y battery overheating, compressor failures, and HVAC-related powertrain issues. Most people assume the problem starts with the compressor, software, or the heat pump itself. It doesn’t. We’ve also seen many third-party workshops incorrectly servicing heat pump systems. Instead of properly evacuating the refrigerant and compressor oil by opening the Octovalve, they recover only part of the system and then add around 1,000 g of new refrigerant on top of the 500 g still trapped inside - and statement were “ah it was only missing gas issue”. The result is an overcharged system that can destroy HVAC components. What many don’t realise is that HVAC is one of the most critical systems in an EV. Just 30 seconds of insufficient cooling can overheat components such as the OBC (for example Kia ICCU), damage an Audi e-tron drive unit and inverter, or, in the worst case, overheat the battery pack. A single severe overheating event can permanently and irreversibly damage battery cells. What surprised us most was that, on the Model 3/Y, the root cause often isn’t a faulty HVAC component or software. It’s the radiator design. The front heat exchangers compartement act like a road vacuum cleaner, trapping dirt so deeply inside the honeycomb that airflow is dramatically reduced. Cooling performance gradually degrades until it starts triggering failures across the entire powertrain. Owners often keep replacing the consequences while never finding the real cause. This is something what reduce the range-soh and increases Wh/km and mostly known situation “hey i drove my tesla from 100% to 0% and it has only 60kWh, not 74kWh” Recommendation on HVAC servises is to contact NRF (Nederlandse Radiateuren Fabriek) experts and take the full training session how to properly service it. (we will too) Our recommendation for every Tesla Model 3/Y owner: * Visit highly skilled worksop to Clean the radiator pack using a dedicated chemical cleaner to dissolve embedded dirt. * Flush thoroughly with low-pressure water (such as at a self-service car wash). * This is not a simple DIY job. Proper access requires partial disassembly and typically takes 2–4 working hours. * Every 80000-120000km Protect your battery. Protect your HVAC. Available at: * EV Clinic Stupnik * EV Clinic Mlaka * EV Clinic Ljubljana * EV Clinic Belgrade * EV Clinic Budapest * EV Clinic Paris * EV Clinic Berlin * EV Clinic Amstetten (soon) * EV Clinic Copenhagen (soon) * EV Clinic Istanbul (soon) * EV Clinic Innsbruck (soon)

EV Clinic

88,824 次观看 • 1 个月前

Sam Altman and Jony Ive are basically building the iPhone moment of AI. And it’s coming way sooner than anyone expected. Their new interview is pure future energy. This isn’t two random tech guys talking. This is the CEO of OpenAI and the man who made the iPhone iconic. And together they’re teasing a new family of AI hardware devices, with the first one called IO. Think personal AI companion instead of another glowing rectangle. Here’s the core idea, distilled: • Right now we live in “Times Square Mode.” Everything blinks, pings, screams for attention. Every app wants a piece of your brain. Focus is basically an endangered species. • IO is meant to be the cabin by the lake. A device with an AI that actually understands your context, knows when to speak, knows when to stay quiet, and filters the world for you. • Total awareness instead of total distraction. A system that doesn’t hijack your nervous system but gives you mental freedom back. • And the timeline. Ive straight up says it’s not five years away. Not even two. Less. The future of AI will not live inside your phone. It’s about to get its own bodies, its own shapes, its own interfaces. And IO is likely the first step. The next big leap is arriving faster than anyone can process.

Sam Altman and Jony Ive are basically building the iPhone moment of AI. And it’s coming way sooner than anyone expected. Their new interview is pure future energy. This isn’t two random tech guys talking. This is the CEO of OpenAI and the man who made the iPhone iconic. And together they’re teasing a new family of AI hardware devices, with the first one called IO. Think personal AI companion instead of another glowing rectangle. Here’s the core idea, distilled: • Right now we live in “Times Square Mode.” Everything blinks, pings, screams for attention. Every app wants a piece of your brain. Focus is basically an endangered species. • IO is meant to be the cabin by the lake. A device with an AI that actually understands your context, knows when to speak, knows when to stay quiet, and filters the world for you. • Total awareness instead of total distraction. A system that doesn’t hijack your nervous system but gives you mental freedom back. • And the timeline. Ive straight up says it’s not five years away. Not even two. Less. The future of AI will not live inside your phone. It’s about to get its own bodies, its own shapes, its own interfaces. And IO is likely the first step. The next big leap is arriving faster than anyone can process.

VraserX e/acc

48,359 次观看 • 8 个月前

‼️EXPOSED: Investigator Just Laid Out Everything The State Should Have Already Released In The Charlie Kirk Case 👀 A former investigator just broke down the basic steps any competent prosecution should have completed and made public in the Charlie Kirk case. Almost none of it has been done. Here is what he said they should already have: Every Flock camera hit on the vehicle, with exact times, because Utah is covered in them Proof that Tyler Robinson was actually inside the vehicle, not just that the car was seen on campus or near a neighbor All available surveillance from Ring doorbells, Dairy Queen, the steakhouse, and every other camera the vehicle or suspect passed Full cell phone data (or tower dumps if the phone was locked), including calls, texts, and GPS locations. Recognition that someone else could have carried the phone as tradecraft, so phone data alone is not enough Download of the vehicle’s infotainment system (using tools like Berla) showing door openings, how many people were sitting in the seats, which phones connected, and driving data. Confirmation or debunking of the witness claim that three people were in the car using the seat sensors High-quality 4K footage from UVU’s own cameras instead of the poor-quality video that has been released These steps are routine even in major case. For the most high-profile assassination of our lifetime, the fact that the public is still being given blurry images and incomplete evidence is a massive red flag. Credit: Back Channel Media On YT This guy is new to Youtube and just starting out but has put out some good stuff, i highly suggest everyone go subscribe to his YT channel and check out his full video about it, il will link down below.👇

Project Constitution

19,857 次观看 • 10 天前

Researchers at Tokamak Energy have captured for the first time a real-time, high-speed video of plasma behaviour inside their ST40 spherical tokamak, tracking visible green and red light emissions as the fusion process occurs. This visual insight comes via a camera operating at thousands of frames per second, offering unprecedented detail of how the plasma evolves, interacts with the surrounding lithium blanket and outer regions, and ultimately radiates energy. The imaging enables scientists to observe how the ultra-hot core transitions outward into cooler zones, how magnetic confinement shapes the plasma behaviour, and how impurities or outer-region interactions influence the process. By giving a ‘star-in-a-donut’ view of fusion in action, this breakthrough adds a new diagnostic tool to the development of fusion energy, helping engineers refine the magnetic confinement, optimise plasma stability and better understand the heat and light flows at play. It was slowed down by 100x. All this was for 0.3s A tokamak is one of the most advanced devices ever created to achieve controlled nuclear fusion, the same process that powers the Sun. Its goal is simple in principle but incredibly challenging in practice: heat a gas until it becomes plasma, raise that plasma to over 100 million degrees, and confine it long enough for hydrogen nuclei to fuse and release energy. Because no material container can survive such temperatures, a tokamak uses powerful magnetic fields to hold and shape the plasma like an invisible cage. The device has a distinctive doughnut-shaped (toroidal) chamber surrounded by magnetic coils. When the machine is switched on, electric currents and external magnets work together to create helical magnetic fields that trap the plasma and keep it away from the walls. As the plasma spirals around these magnetic lines, it heats up dramatically. Additional heating comes from methods like radio-frequency waves and neutral-beam injection, pushing the plasma toward the extreme temperatures needed for fusion. Inside this tightly controlled environment, hydrogen isotopes such as deuterium and tritium can collide and fuse, releasing fast neutrons and a burst of energy. The goal of tokamak research is to reach a point where the fusion reactions produce more energy than the system consumes, a milestone known as “net energy gain.” Modern machines like ITER, JET, and Tokamak Energy’s ST40 are bringing this vision closer, using advanced diagnostics, superconducting magnets, and increasingly stable plasma control. 👉

Researchers at Tokamak Energy have captured for the first time a real-time, high-speed video of plasma behaviour inside their ST40 spherical tokamak, tracking visible green and red light emissions as the fusion process occurs. This visual insight comes via a camera operating at thousands of frames per second, offering unprecedented detail of how the plasma evolves, interacts with the surrounding lithium blanket and outer regions, and ultimately radiates energy. The imaging enables scientists to observe how the ultra-hot core transitions outward into cooler zones, how magnetic confinement shapes the plasma behaviour, and how impurities or outer-region interactions influence the process. By giving a ‘star-in-a-donut’ view of fusion in action, this breakthrough adds a new diagnostic tool to the development of fusion energy, helping engineers refine the magnetic confinement, optimise plasma stability and better understand the heat and light flows at play. It was slowed down by 100x. All this was for 0.3s A tokamak is one of the most advanced devices ever created to achieve controlled nuclear fusion, the same process that powers the Sun. Its goal is simple in principle but incredibly challenging in practice: heat a gas until it becomes plasma, raise that plasma to over 100 million degrees, and confine it long enough for hydrogen nuclei to fuse and release energy. Because no material container can survive such temperatures, a tokamak uses powerful magnetic fields to hold and shape the plasma like an invisible cage. The device has a distinctive doughnut-shaped (toroidal) chamber surrounded by magnetic coils. When the machine is switched on, electric currents and external magnets work together to create helical magnetic fields that trap the plasma and keep it away from the walls. As the plasma spirals around these magnetic lines, it heats up dramatically. Additional heating comes from methods like radio-frequency waves and neutral-beam injection, pushing the plasma toward the extreme temperatures needed for fusion. Inside this tightly controlled environment, hydrogen isotopes such as deuterium and tritium can collide and fuse, releasing fast neutrons and a burst of energy. The goal of tokamak research is to reach a point where the fusion reactions produce more energy than the system consumes, a milestone known as “net energy gain.” Modern machines like ITER, JET, and Tokamak Energy’s ST40 are bringing this vision closer, using advanced diagnostics, superconducting magnets, and increasingly stable plasma control. 👉

Erika 

162,540 次观看 • 9 个月前

The case of Kristil Krug in Broomfield, Colorado, is a tragic instance of domestic violence and calculated deception that ended in a first-degree conviction. Kristil Krug was a brilliant biochemical engineer, mother of three, and dancer whose marriage to Daniel Krug was collapsing. Kristil began receiving anonymous, highly threatening text messages and emails from someone who knew her every move, causing severe anxiety and prompting her to take firearm safety classes. The sender framed a fictitious persona pretending to be Kristil’s ex-boyfriend from Utah, even sending a photo of Daniel at work to make Kristil believe they were both targets. In reality, Daniel was the puppet master. He initially orchestrated the harassment to play the protector and win her back. However, as police investigated and Kristil began uncovering the truth, Daniel realized his digital tracks could expose him and plotted her demise to silence her. On a weekday morning, after Kristil dropped two of their children off at school, Daniel lay in wait and ambushed her in the family garage, striking her with a blunt object and fatally wounding her. Daniel then executed an intricate plan to manufacture an alibi: Tampering with Security: He covered the doorbell camera with tape and disabled the home security system. Faking Texts: He used Kristil's phone to send misleading texts to her brother and a detective, falsely claiming she was having an affair. Delayed Alibi: He left for his state government job 30 minutes late and disabled his car's dash camera. While driving, his phone received automated, staged texts from Kristil’s phone to make it look like she was still alive. Around noon, after sending staged, unanswered messages to his wife, Daniel requested a police welfare check. Officers arrived and discovered Kristil's body in the garage. The Investigation and Conviction Investigators quickly cleared the ex-boyfriend, who was an eight-hour drive away in Utah. When told the ex-boyfriend had an airtight alibi, Daniel tried to shift blame, telling detectives, "It’s always the husband." Digital forensics ultimately proved Daniel's guilt: The fake email account was traced to a password-protected computer network at Daniel's workplace. The burner phones used for the threats were bought with a gift card registered in his name. Location data showed a burner phone traveling in tandem with Daniel’s personal phone. Following a multi-week trial, a jury convicted Daniel Krug of first-degree murder, harassment, and criminal impersonation. The judge sentenced him to life in prison without the possibility of parole, officially designating the crimes as acts of domestic violence.

The case of Kristil Krug in Broomfield, Colorado, is a tragic instance of domestic violence and calculated deception that ended in a first-degree conviction. Kristil Krug was a brilliant biochemical engineer, mother of three, and dancer whose marriage to Daniel Krug was collapsing. Kristil began receiving anonymous, highly threatening text messages and emails from someone who knew her every move, causing severe anxiety and prompting her to take firearm safety classes. The sender framed a fictitious persona pretending to be Kristil’s ex-boyfriend from Utah, even sending a photo of Daniel at work to make Kristil believe they were both targets. In reality, Daniel was the puppet master. He initially orchestrated the harassment to play the protector and win her back. However, as police investigated and Kristil began uncovering the truth, Daniel realized his digital tracks could expose him and plotted her demise to silence her. On a weekday morning, after Kristil dropped two of their children off at school, Daniel lay in wait and ambushed her in the family garage, striking her with a blunt object and fatally wounding her. Daniel then executed an intricate plan to manufacture an alibi: Tampering with Security: He covered the doorbell camera with tape and disabled the home security system. Faking Texts: He used Kristil's phone to send misleading texts to her brother and a detective, falsely claiming she was having an affair. Delayed Alibi: He left for his state government job 30 minutes late and disabled his car's dash camera. While driving, his phone received automated, staged texts from Kristil’s phone to make it look like she was still alive. Around noon, after sending staged, unanswered messages to his wife, Daniel requested a police welfare check. Officers arrived and discovered Kristil's body in the garage. The Investigation and Conviction Investigators quickly cleared the ex-boyfriend, who was an eight-hour drive away in Utah. When told the ex-boyfriend had an airtight alibi, Daniel tried to shift blame, telling detectives, "It’s always the husband." Digital forensics ultimately proved Daniel's guilt: The fake email account was traced to a password-protected computer network at Daniel's workplace. The burner phones used for the threats were bought with a gift card registered in his name. Location data showed a burner phone traveling in tandem with Daniel’s personal phone. Following a multi-week trial, a jury convicted Daniel Krug of first-degree murder, harassment, and criminal impersonation. The judge sentenced him to life in prison without the possibility of parole, officially designating the crimes as acts of domestic violence.

✨️Serenitee♡Sam✨️

72,938 次观看 • 3 个月前