✉news SciencePhysics first seen 3 d ago, last 2 d ago, peak #11
Neural Networks Learn Stable Physics Models From Raw Data
Original: Neural Networks Learn Stable Physics-Based Models Straight From Data
Researchers report that neural networks can learn stable, physics-based models directly from data, without hand-crafted equations. The approach could make simulations in engineering and science more reliable, since the learned models respect physical stability constraints. The finding is drawing attention in the machine learning and physics communities for its potential to automate scientific modelling.
Why now: Interest in AI methods that can discover physical laws and reliable models automatically from data.
neural networksmachine learningphysics
Evidence
- Neural Networks Learn Stable Physics-Based Models Straight From Data · Bioengineer.org
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