Integrating Machine Learning with Physics-Based Modeling

4 June 2020

Papers citing "Integrating Machine Learning with Physics-Based Modeling"

8 / 8 papers shown

Title
Knowledge-augmented Deep Learning and Its Applications: A Survey Zijun Cui Tian Gao Kartik Talamadupula Qiang Ji 39 18 0 30 Nov 2022
Deep Grey-Box Modeling With Adaptive Data-Driven Models Toward Trustworthy Estimation of Theory-Driven Models Naoya Takeishi Alexandros Kalousis AAML 40 3 0 24 Oct 2022
Multiway Ensemble Kalman Filter Yu Wang Alfred Hero 18 1 0 08 Dec 2021
Physics-Guided Deep Learning for Dynamical Systems: A Survey Rui Wang Rose Yu AI4CE PINN 41 65 0 02 Jul 2021
Polyconvex anisotropic hyperelasticity with neural networks Dominik K. Klein Mauricio Fernández Robert J. Martin P. Neff Oliver Weeger 41 151 0 20 Jun 2021
APIK: Active Physics-Informed Kriging Model with Partial Differential Equations Jialei Chen Zhehui Chen Chuck Zhang C. F. J. Wu 11 14 0 22 Dec 2020
Learning Thermodynamically Stable and Galilean Invariant Partial Differential Equations for Non-equilibrium Flows Juntao Huang Zhiting Ma Y. Zhou W. Yong AI4CE 43 16 0 28 Sep 2020
Machine Learning and Computational Mathematics Weinan E PINN AI4CE 32 61 0 23 Sep 2020