DOI: 10.1021/acs.jctc.5b01011. Kinetic Energy of Hydrocarbons as a Function of Electron Density and Convolutional Neural Networks

Kinetic Energy of Hydrocarbons as a Function of Electron Density and Convolutional Neural Networks

10.1021/acs.jctc.5b01011

Crossref journal-article

American Chemical Society (ACS)

Journal of Chemical Theory and Computation (316)

Bibliography

Yao, K., & Parkhill, J. (2016). Kinetic Energy of Hydrocarbons as a Function of Electron Density and Convolutional Neural Networks. Journal of Chemical Theory and Computation, 12(3), 1139â1147.

Authors 2

Kun Yao (first)
John Parkhill (additional)

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Dates

Type	When
Created	9 years, 7 months ago (Jan. 26, 2016, 5:40 p.m.)
Deposited	2 months, 4 weeks ago (June 1, 2025, 3:10 a.m.)
Indexed	3 days, 16 hours ago (Aug. 27, 2025, 12:10 p.m.)
Issued	9 years, 6 months ago (Feb. 8, 2016)
Published	9 years, 6 months ago (Feb. 8, 2016)
Published Online	9 years, 6 months ago (Feb. 8, 2016)
Published Print	9 years, 5 months ago (March 8, 2016)

Funders 2

College of Science, University of Notre Dame
Department of Chemistry and Biochemistry, University of Notre Dame

BibTeX

@article{Yao_2016, title={Kinetic Energy of Hydrocarbons as a Function of Electron Density and Convolutional Neural Networks}, volume={12}, ISSN={1549-9626}, url={http://dx.doi.org/10.1021/acs.jctc.5b01011}, DOI={10.1021/acs.jctc.5b01011}, number={3}, journal={Journal of Chemical Theory and Computation}, publisher={American Chemical Society (ACS)}, author={Yao, Kun and Parkhill, John}, year={2016}, month=feb, pages={1139–1147} }

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