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)

National Natural Science Foundation of China (91745201)

National Natural Science Foundation of China (91645201)

National Natural Science Foundation of China (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