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Representation of coupled adiabatic potential energy surfaces using neural network based quasi-diabatic Hamiltonians: 1,2 <sup>2</sup>A′ states of LiFH

Crossref DOI link: https://doi.org/10.1039/C8CP06598E

Published Online: 2019

Update policy: https://doi.org/10.1039/rsc_crossmark_policy

Authors

Guan, Yafu https://orcid.org/0000-0003-3723-4233
Zhang, Dong H.

Guo, Hua https://orcid.org/0000-0001-9901-053X
Yarkony, David R. https://orcid.org/0000-0002-5446-1350
Funding

Funding for this research was provided by:

U.S. Department of Energy (DE-SC0015997)

National Natural Science Foundation of China (21433009, 21590804, 21688102)
License Information

Accepted Manuscript valid from 2019-11-17
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SIMILARITY CHECK

: This document is Similarity Check deposited

IDENTIFIERS

: Yafu Guan (ORCID)

: Hua Guo (ORCID)

: David R. Yarkony (ORCID)

PEER REVIEW METHOD

: Single-blind

PUBLICATION HISTORY

: Received 23 October 2018; Accepted 16 November 2018; Accepted Manuscript published 17 November 2018; Advance Article published 7 December 2018; Version of Record published 3 July 2019

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