Relativistic Fermionic Neural Networks Based on Zeroth-Order Regular Approximation: ZORANet.

Wang M, Zhou Y, Wang H

DOI: 10.1021/acs.jctc.5c01602
Published: 2026 Feb 10
Container: Journal of chemical theory and computation
Publisher: Not recorded
Open access: no

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Cite this work

BibTeX

@article{allodium:10.1021/acs.jctc.5c01602,
  title = {Relativistic Fermionic Neural Networks Based on Zeroth-Order Regular Approximation: ZORANet.},
  author = {Wang M and Zhou Y and Wang H},
  year = {2026},
  journal = {Journal of chemical theory and computation},
  doi = {10.1021/acs.jctc.5c01602},
  url = {https://doi.org/10.1021/acs.jctc.5c01602}
}

RIS

TY  - JOUR
TI  - Relativistic Fermionic Neural Networks Based on Zeroth-Order Regular Approximation: ZORANet.
AU  - Wang M
AU  - Zhou Y
AU  - Wang H
PY  - 2026
JO  - Journal of chemical theory and computation
DO  - 10.1021/acs.jctc.5c01602
UR  - https://doi.org/10.1021/acs.jctc.5c01602
ER  -

APA

M, W., Y, Z., & H, W. (2026). Relativistic Fermionic Neural Networks Based on Zeroth-Order Regular Approximation: ZORANet.. Journal of chemical theory and computation. https://doi.org/10.1021/acs.jctc.5c01602

Source records

pubmed · retrieved 2026-11-10T11:54:21.665Z
europe-pmc · retrieved 2026-11-10T11:54:21.677Z