Discovering conservation laws from trajectories via machine learning

8 February 2021

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

4 / 4 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 38 5 0 24 Apr 2023
Model-agnostic machine learning of conservation laws from data Shivam Arora Alexander Bihlo Rudiger Brecht P. Holba PINN AI4CE 26 3 0 12 Jan 2023
Learning quantum symmetries with interactive quantum-classical variational algorithms Jonathan Z. Lu R. A. Bravo Kaiying Hou Gebremedhin A. Dagnew S. Yelin K. Najafi 40 3 0 23 Jun 2022
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