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Φ-SO : Physical Symbolic Optimization - Learning Physics from Data 🧠 The Physical Symbolic Optimization package uses deep reinforcement learning to discover physical laws from data. Here is Φ-SO discovering the analytical expression of a damped harmonic oscillator.

Jousef Murad

19,846 subscribers

433,091 Aufrufe • vor 2 Jahren •via X (Twitter)

Wissenschaft & Technologie Bildung

Anya Rossi• Live Now

Private livecam show

9 Kommentare

Profilbild von Jousef Murad

Jousef Muradvor 2 Jahren

🌎 Repo: 👉 Paper:

Profilbild von Luke Barnes

Luke Barnesvor 2 Jahren

This isn't physics. It's curve fitting. If you want to do physics, start by having the code discover the underlying differential equation. Handy, though.

Profilbild von Rasmus Nordström

Rasmus Nordströmvor 2 Jahren

ELI5 please, is this just brute forcing different formulas to see what fits that data or is it more magic to it?

Profilbild von Moritz Zaiss

Moritz Zaissvor 2 Jahren

Nice, I love these approaches! A differentiable physicist that doesn't need coffee. Check out the work of @GMartius in this context!

Profilbild von Jiwoong Lee

Jiwoong Leevor 2 Jahren

Would it be more straightforward to optimize in frequency domain? Curious.

Profilbild von Luis Tobon

Luis Tobonvor 2 Jahren

Try Sindy.

Profilbild von Wassim Tenachi

Wassim Tenachivor 2 Jahren

Thanks for sharing my work, glad to see people excited about this ! 😊

Profilbild von Unser Kampf : notre combat

Unser Kampf : notre combatvor 2 Jahren

How many points are tested ? 4k+1 ?

Profilbild von Unser Kampf : notre combat

Unser Kampf : notre combatvor 2 Jahren

Il like very much. Your works completes mine.

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