Guo, Wei-chen https://orcid.org/0000-0002-6629-1969
He, Liang
Funding for this research was provided by:
Major Basic Research Project of Guangdong Province (2017KZDXM024)
NSFC (11874017)
START grant of South China Normal University
Science and Technology Program of Guangzhou (2019050001)
Article Title: Learning phase transitions from regression uncertainty: a new regression-based machine learning approach for automated detection of phases of matter
Journal Title: New Journal of Physics
Article Type: paper
Copyright Information: © 2023 The Author(s). Published by IOP Publishing Ltd on behalf of the Institute of Physics and Deutsche Physikalische Gesellschaft
Publication dates
Date Received: 2022-10-15
Date Accepted: 2023-08-11
Online publication date: 2023-08-23