Crossmark

Machine learning forecasting of active nematics

Crossref DOI link: https://doi.org/10.1039/d0sm01316a

Published Online: 2021

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

Authors

Zhou, Zhengyang https://orcid.org/0000-0002-4609-7448
Joshi, Chaitanya https://orcid.org/0000-0002-3886-6585
Liu, Ruoshi

Norton, Michael M.

Lemma, Linnea

Dogic, Zvonimir

Hagan, Michael F. https://orcid.org/0000-0002-9211-2434
Fraden, Seth https://orcid.org/0000-0002-2420-9939
Hong, Pengyu https://orcid.org/0000-0002-3177-2754
Funding

Funding for this research was provided by:

National Science Foundation (DMR-1420382)

National Science Foundation (DMR-MRSEC 2011486)

National Science Foundation (XSEDE TG-MCB090163)

National Science Foundation (NSF-DMR-1810077)

National Science Foundation (NSF DMR-1855914)

National Science Foundation (NSF OAC 1920147)
License Information

Accepted Manuscript valid from 2021-11-14
More Information

SIMILARITY CHECK

: This document is Similarity Check deposited

RELATED DATA

: Supplementary Information

IDENTIFIERS

: Zhengyang Zhou (ORCID)

: Chaitanya Joshi (ORCID)

: Michael F. Hagan (ORCID)

: Michael F. Hagan (ResearcherID)

: Seth Fraden (ORCID)

: Pengyu Hong (ORCID)

PEER REVIEW METHOD

: Single-blind

PUBLICATION HISTORY

: Received 19 July 2020; Accepted 5 November 2020; Accepted Manuscript published 14 November 2020; Advance Article published 21 November 2020; Version of Record published 28 January 2021