Physics-Augmented Learning: A New Paradigm Beyond Physics-Informed Learning

28 September 2021

Papers citing "Physics-Augmented Learning: A New Paradigm Beyond Physics-Informed Learning"

5 / 5 papers shown

Title
Data Science and Machine Learning in Education G. Benelli Thomas Y. Chen Javier Mauricio Duarte Matthew Feickert Matthew Graham ... K. Terao S. Thais A. Roy J. Vlimant G. Chachamis AI4CE 15 5 0 19 Jul 2022
AI Poincaré 2.0: Machine Learning Conservation Laws from Differential Equations Ziming Liu Varun Madhavan M. Tegmark PINN 22 27 0 23 Mar 2022
Disentangled Spatiotemporal Graph Generative Models Yuanqi Du Xiaojie Guo Hengning Cao Yanfang Ye Liang Zhao 8 20 0 28 Feb 2022
Machine-learning hidden symmetries Ziming Liu Max Tegmark 40 52 0 20 Sep 2021
Lagrangian Neural Networks M. Cranmer S. Greydanus Stephan Hoyer Peter W. Battaglia D. Spergel S. Ho PINN 121 364 0 10 Mar 2020