Discovering conservation laws from trajectories via machine learning

8 February 2021

Papers citing "Discovering conservation laws from trajectories via machine learning"

3 / 3 papers shown

Title
Constraining Chaos: Enforcing dynamical invariants in the training of recurrent neural networks Jason A. Platt S. Penny T. A. Smith Tse-Chun Chen H. Abarbanel AI4TS 36 5 0 24 Apr 2023
Model-agnostic machine learning of conservation laws from data Shivam Arora Alexander Bihlo Rudiger Brecht P. Holba PINN AI4CE 18 3 0 12 Jan 2023
Machine learning for knowledge acquisition and accelerated inverse-design for non-Hermitian systems W. Ahmed M. Farhat K. Staliūnas Xiangliang Zhang Ying Wu 27 8 0 28 Apr 2022