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Quantum deep field: data-driven wave function, electron density
  generation, and atomization energy prediction and extrapolation with machine
  learning

Quantum deep field: data-driven wave function, electron density generation, and atomization energy prediction and extrapolation with machine learning

16 November 2020
Masashi Tsubaki
T. Mizoguchi
ArXivPDFHTML

Papers citing "Quantum deep field: data-driven wave function, electron density generation, and atomization energy prediction and extrapolation with machine learning"

3 / 3 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
36
0
01 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
22
44
0
02 Nov 2021
Ab-Initio Potential Energy Surfaces by Pairing GNNs with Neural Wave
  Functions
Ab-Initio Potential Energy Surfaces by Pairing GNNs with Neural Wave Functions
Nicholas Gao
Stephan Günnemann
21
36
0
11 Oct 2021
1