Roy, Pranav
Rekhi, Lavie https://orcid.org/0000-0002-1039-9292
Koh, See Wee
Li, Hong
Choksi, Tej S https://orcid.org/0000-0002-9520-019X
Funding for this research was provided by:
National Supercomputing Centre, Singapore (12001868)
Ministry of Education - Singapore (Academic Research Fund Tier-1 RG5/21)
National Research Foundation Singapore (Campus for Research Excellence and Technological E)
Article Title: Predicting the work function of 2D MXenes using machine-learning methods
Journal Title: Journal of Physics: Energy
Article Type: paper
Copyright Information: © 2023 Author(s). Published by IOP Publishing Ltd
Publication dates
Date Received: 2022-06-12
Date Accepted: 2023-01-13
Online publication date: 2023-05-09