Differentiable Physics: A Position Piece
Machine Learning
2021-09-17 v1 Chemical Physics
Abstract
Differentiable physics provides a new approach for modeling and understanding the physical systems by pairing the new technology of differentiable programming with classical numerical methods for physical simulation. We survey the rapidly growing literature of differentiable physics techniques and highlight methods for parameter estimation, learning representations, solving differential equations, and developing what we call scientific foundation models using data and inductive priors. We argue that differentiable physics offers a new paradigm for modeling physical phenomena by combining classical analytic solutions with numerical methodology using the bridge of differentiable programming.
Cite
@article{arxiv.2109.07573,
title = {Differentiable Physics: A Position Piece},
author = {Bharath Ramsundar and Dilip Krishnamurthy and Venkatasubramanian Viswanathan},
journal= {arXiv preprint arXiv:2109.07573},
year = {2021}
}
Comments
12 pages, 1 figure