Version 1.0

Nonlocal machine-learned exchange functional for molecules and solids

Bystrom, Kyle;Kozinsky, Boris

Description

This dataset supplements the journal article "Nonlocal machine-learned exchange functional for molecules and solids," published in Physical Review B: DOI:10.1103/PhysRevB.110.075130. It contains the machine-learned functionals developed in the study (which can be used with the CiderPressLite code), along with additional data and results from the study.Please see the README.md file for more details on the dataset, and refer to the original paper for details on methodology and funding acknowledgments.

Citations (0)

Mentions (0)

Metrics

Dataset Index

0.8

FAIR Score

79%

Citations

1

Mentions

0

Metrics Over Time

Publication Details

DOI

Publisher

Zenodo

License

Creative Commons Attribution 4.0 International

Assigned Domain

Subfield

Atomic and Molecular Physics, and Optics

Field

Physics and Astronomy

Domain

Physical Sciences

Confidence Score

43%

Source

Scholar Data Model

Keywords

Condensed matter physicsPhysical chemistry

Normalization Factors

FT

56.73

CTw

1.00

MTw

1.00