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Harnessing deep neural networks to solve inverse problems in quantum dynamics: machine-learned predictions of time-dependent optimal control fields

Crossref DOI link: https://doi.org/10.1039/D0CP03694C

Published Online: 2020

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

Authors

Wang, Xian https://orcid.org/0000-0002-1802-6925
Kumar, Anshuman https://orcid.org/0000-0002-8077-7578
Shelton, Christian R. https://orcid.org/0000-0001-6698-7838
Wong, Bryan M. https://orcid.org/0000-0002-3477-8043
Funding

Funding for this research was provided by:

Division of Chemistry (1808242)

Division of Chemical, Bioengineering, Environmental, and Transport Systems (1833218)
License Information

Accepted Manuscript valid from 2021-09-08
More Information

SIMILARITY CHECK

: This document is Similarity Check deposited

RELATED DATA

: Supplementary Information

IDENTIFIERS

: Xian Wang (ORCID)

: Anshuman Kumar (ORCID)

: Anshuman Kumar (ResearcherID)

: Christian R. Shelton (ORCID)

: Bryan M. Wong (ORCID)

: Bryan M. Wong (ResearcherID)

PEER REVIEW METHOD

: Single-blind

PUBLICATION HISTORY

: Received 10 July 2020; Accepted 4 September 2020; Accepted Manuscript published 8 September 2020; Advance Article published 16 September 2020; Version of Record published 21 October 2020