Machine learning many-electron wave functions via backflow transformations

Posted in Journal Articles on May 31, 2020 at 2:13 pm by JCCMP

1. Backflow Transformations via Neural Networks for Quantum Many-Body Wave-Functions
Authors: D. Luo and B. K. Clark
Phys. Rev. Lett. 122, 226401 (2019); DOI:10.1103/PhysRevLett.122.226401
arXiv:1807.10770

2. Ab-Initio Solution of the Many-Electron Schrödinger Equation with Deep Neural Networks
Authors: D. Pfau, J. S. Spencer, A. G. de G. Matthews, and W. M. C. Foulkes
arXiv:1909.02487

3. Deep neural network solution of the electronic Schrödinger equation
Authors: J. Hermann, Z. Schätzle, and F. Noé
arXiv:1909.08423

Recommended with a commentary by Markus Holzmann, Univ. Grenoble Alpes, CNRS, LPMMC
|View Commentary (pdf)|

This commentary may be cited as:
DOI: 10.36471/JCCM_May_2020_01
https://doi.org/10.36471/JCCM_May_2020_01

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