Crossmark

Atomic structure of boron resolved using machine learning and global sampling

Crossref DOI link: https://doi.org/10.1039/C8SC03427C

Published Online: 2018

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

Authors

Huang, Si-Da https://orcid.org/0000-0002-0055-1510
Shang, Cheng https://orcid.org/0000-0001-7486-1514
Kang, Pei-Lin

Liu, Zhi-Pan https://orcid.org/0000-0002-2906-5217
Funding

Funding for this research was provided by:

National Natural Science Foundation of China (21533001, 91745201, 91645201, 21603035)

Science and Technology Commission of Shanghai Municipality (08DZ2270500)
License Information

Version of Record valid from 2018-09-11
More Information

SIMILARITY CHECK

: This document is Similarity Check deposited

RELATED DATA

: Supplementary Information

IDENTIFIERS

: Si-Da Huang (ORCID)

: Cheng Shang (ORCID)

: Cheng Shang (ResearcherID)

: Zhi-Pan Liu (ORCID)

PEER REVIEW METHOD

: Single-blind

PUBLICATION HISTORY

: Received 2 August 2018; Accepted 11 September 2018; Accepted Manuscript published 11 September 2018; Advance Article published 25 September 2018; Version of Record published 28 November 2018