DOI: 10.1103/physrevb.100.184103. Predicting charge density distribution of materials using a local-environment-based graph convolutional network

Predicting charge density distribution of materials using a local-environment-based graph convolutional network

10.1103/physrevb.100.184103

Crossref journal-article

American Physical Society (APS)

Physical Review B (16)

Bibliography

Gong, S., Xie, T., Zhu, T., Wang, S., Fadel, E. R., Li, Y., & Grossman, J. C. (2019). Predicting charge density distribution of materials using a local-environment-based graph convolutional network. Physical Review B, 100(18).

Authors 7

Sheng Gong (first)
Tian Xie (additional)
Taishan Zhu (additional)
Shuo Wang (additional)
Eric R. Fadel (additional)
Yawei Li (additional)
Jeffrey C. Grossman (additional)

References 46 Referenced 43

10.1002/wcms.19
10.1002/anie.199718081
10.1021/ja100936w
10.1021/acs.jpcc.7b02826
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Dates

Type	When
Created	5 years, 9 months ago (Nov. 7, 2019, 10:01 a.m.)
Deposited	4 years, 6 months ago (Jan. 27, 2021, 8:01 p.m.)
Indexed	2 months, 4 weeks ago (May 23, 2025, 3:24 p.m.)
Issued	5 years, 9 months ago (Nov. 7, 2019)
Published	5 years, 9 months ago (Nov. 7, 2019)
Published Online	5 years, 9 months ago (Nov. 7, 2019)

Funders 2

U.S. Department of Energy 10.13039/100000015
Region: Americas
gov (National government)
Labels8
1. Energy Department
2. Department of Energy
3. United States Department of Energy
4. ENERGY.GOV
5. US Department of Energy
6. USDOE
7. DOE
8. USADOE
Awards1
1. DE-AC02-05CH11231
National Science Foundation 10.13039/100000001
Region: Americas
gov (National government)
Labels4
1. U.S. National Science Foundation
2. NSF
3. US NSF
4. USA NSF
Awards1
1. ACI-1053575

BibTeX

@article{Gong_2019, title={Predicting charge density distribution of materials using a local-environment-based graph convolutional network}, volume={100}, ISSN={2469-9969}, url={http://dx.doi.org/10.1103/physrevb.100.184103}, DOI={10.1103/physrevb.100.184103}, number={18}, journal={Physical Review B}, publisher={American Physical Society (APS)}, author={Gong, Sheng and Xie, Tian and Zhu, Taishan and Wang, Shuo and Fadel, Eric R. and Li, Yawei and Grossman, Jeffrey C.}, year={2019}, month=nov }

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