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Kohn-Sham equations as regularizer: building prior knowledge into
  machine-learned physics

Kohn-Sham equations as regularizer: building prior knowledge into machine-learned physics

17 September 2020
Li Li
Stephan Hoyer
Ryan Pederson
Ruoxi Sun
E. D. Cubuk
Patrick F. Riley
K. Burke
    AI4CE
ArXivPDFHTML

Papers citing "Kohn-Sham equations as regularizer: building prior knowledge into machine-learned physics"

12 / 12 papers shown
Title
Learning Equivariant Non-Local Electron Density Functionals
Learning Equivariant Non-Local Electron Density Functionals
Nicholas Gao
Eike Eberhard
Stephan Günnemann
28
1
0
10 Oct 2024
Reducing the Cost of Quantum Chemical Data By Backpropagating Through
  Density Functional Theory
Reducing the Cost of Quantum Chemical Data By Backpropagating Through Density Functional Theory
Alexander Mathiasen
Hatem Helal
Paul Balanca
Adam Krzywaniak
Ali Parviz
Frederik Hvilshoj
Bla.zej Banaszewski
Carlo Luschi
Andrew William Fitzgibbon
40
3
0
06 Feb 2024
Partial Differential Equations Meet Deep Neural Networks: A Survey
Partial Differential Equations Meet Deep Neural Networks: A Survey
Shudong Huang
Wentao Feng
Chenwei Tang
Jiancheng Lv
AI4CE
AIMat
24
17
0
27 Oct 2022
Constants of motion network
Constants of motion network
M. F. Kasim
Yi Heng Lim
23
4
0
22 Aug 2022
AD-NEGF: An End-to-End Differentiable Quantum Transport Simulator for
  Sensitivity Analysis and Inverse Problems
AD-NEGF: An End-to-End Differentiable Quantum Transport Simulator for Sensitivity Analysis and Inverse Problems
Ying Zhou
Xiang Chen
Peng Zhang
Jun Wang
Lei Wang
Hongfeng Guo
23
1
0
10 Feb 2022
Self-consistent Gradient-like Eigen Decomposition in Solving
  Schrödinger Equations
Self-consistent Gradient-like Eigen Decomposition in Solving Schrödinger Equations
Xihan Li
Xiang Chen
Rasul Tutunov
Haitham Bou-Ammar
Lei Wang
Jun Wang
8
0
0
03 Feb 2022
Large Scale Distributed Linear Algebra With Tensor Processing Units
Large Scale Distributed Linear Algebra With Tensor Processing Units
Adam G. M. Lewis
J. Beall
M. Ganahl
M. Hauru
Shrestha Basu Mallick
G. Vidal
21
23
0
16 Dec 2021
Audacity of huge: overcoming challenges of data scarcity and data
  quality for machine learning in computational materials discovery
Audacity of huge: overcoming challenges of data scarcity and data quality for machine learning in computational materials discovery
Aditya Nandy
Chenru Duan
Heather J. Kulik
AI4CE
25
45
0
02 Nov 2021
DQC: a Python program package for Differentiable Quantum Chemistry
DQC: a Python program package for Differentiable Quantum Chemistry
M. F. Kasim
S. Lehtola
S. Vinko
13
34
0
22 Oct 2021
Physics-Integrated Variational Autoencoders for Robust and Interpretable
  Generative Modeling
Physics-Integrated Variational Autoencoders for Robust and Interpretable Generative Modeling
Naoya Takeishi
Alexandros Kalousis
DRL
AI4CE
24
54
0
25 Feb 2021
Machine learning accelerated computational fluid dynamics
Machine learning accelerated computational fluid dynamics
Dmitrii Kochkov
Jamie A. Smith
Ayya Alieva
Qing Wang
M. Brenner
Stephan Hoyer
AI4CE
34
826
0
28 Jan 2021
Deep neural network solution of the electronic Schrödinger equation
Deep neural network solution of the electronic Schrödinger equation
J. Hermann
Zeno Schätzle
Frank Noé
149
446
0
16 Sep 2019
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