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Deep Density: circumventing the Kohn-Sham equations via symmetry
  preserving neural networks

Deep Density: circumventing the Kohn-Sham equations via symmetry preserving neural networks

27 November 2019
Leonardo Zepeda-Núnez
Yixiao Chen
Jiefu Zhang
Weile Jia
Linfeng Zhang
Lin Lin
ArXivPDFHTML

Papers citing "Deep Density: circumventing the Kohn-Sham equations via symmetry preserving neural networks"

6 / 6 papers shown
Title
Equivariant graph neural networks for fast electron density estimation
  of molecules, liquids, and solids
Equivariant graph neural networks for fast electron density estimation of molecules, liquids, and solids
Peter Bjørn Jørgensen
Arghya Bhowmik
16
35
0
01 Dec 2021
Integrating Expert ODEs into Neural ODEs: Pharmacology and Disease
  Progression
Integrating Expert ODEs into Neural ODEs: Pharmacology and Disease Progression
Zhaozhi Qian
W. Zame
L. Fleuren
Paul Elbers
M. Schaar
OOD
22
53
0
05 Jun 2021
Wide-band butterfly network: stable and efficient inversion via
  multi-frequency neural networks
Wide-band butterfly network: stable and efficient inversion via multi-frequency neural networks
Matthew T.C. Li
L. Demanet
Leonardo Zepeda-Núnez
35
8
0
24 Nov 2020
DeepDFT: Neural Message Passing Network for Accurate Charge Density
  Prediction
DeepDFT: Neural Message Passing Network for Accurate Charge Density Prediction
Peter Bjørn Jørgensen
Arghya Bhowmik
22
20
0
04 Nov 2020
DeePKS: a comprehensive data-driven approach towards chemically accurate
  density functional theory
DeePKS: a comprehensive data-driven approach towards chemically accurate density functional theory
Yixiao Chen
Linfeng Zhang
Han Wang
E. Weinan
19
72
0
01 Aug 2020
Deep Learning in Protein Structural Modeling and Design
Deep Learning in Protein Structural Modeling and Design
Wenhao Gao
S. Mahajan
Jeremias Sulam
Jeffrey J. Gray
29
159
0
16 Jul 2020
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