Benchmark Comparison of Dual-basis Double-hybrid Density Functional Theory and a Neural-network-optimized Method for Intermolecular Interactions

Authors

Jesse J. Lutz, Air Force Institute of Technology
Jason N. Byrd
John A. Montgomery Jr.

Document Type

Article

Publication Date

2-2021

Comments

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The "Link to Full Text" on this page opens or saves the Open Manuscript version provided by Elsevier at the ScienceDirect site.
The published version of the article appears in volume 376 of Journal of Molecular Spectroscopy as cited below, and is available to subscribers.

DOI

10.1016/j.jms.2020.111406

Source Publication

Journal of Molecular Spectroscopy

Recommended Citation

Lutz, J. J., Byrd, J. N., & Montgomery, J. A. (2021). Benchmark comparison of dual-basis double-hybrid density functional theory and a neural-network-optimized method for intermolecular interactions. Journal of Molecular Spectroscopy, 376, 111406. https://doi.org/10.1016/j.jms.2020.111406