DOE Data Explorer title logo U.S. Department of Energy
Office of Scientific and Technical Information

Title: Replication Data for: Multitask Machine Learning of Collective Variables for Enhanced Sampling of Rare Events

Abstract

The data underlying this published work have been made publicly available in this repository as part of the IMASC Data Management Plan. This work was supported as part of the Integrated Mesoscale Architectures for Sustainable Catalysis (IMASC), an Energy Frontier Research Center funded by the U.S. Department of Energy, Office of Science, Basic Energy Sciences under Award # DE-SC0012573.

Authors:
; ; ; ; ; ;
  1. Harvard Univ., Cambridge, MA (United States); OSTI
  2. Harvard Univ., Cambridge, MA (United States)
Publication Date:
DOE Contract Number:  
SC0012573
Research Org.:
Harvard Univ., Cambridge, MA (United States). Integrated Mesoscale Architectures for Sustainable Catalysis (IMASC) (EFRC)
Sponsoring Org.:
USDOE Office of Science (SC), Basic Energy Sciences (BES)
Subject:
37 INORGANIC, ORGANIC, PHYSICAL, AND ANALYTICAL CHEMISTRY
OSTI Identifier:
1873115
DOI:
https://doi.org/10.7910/DVN/UEK4YH

Citation Formats

Sun, Lixin, Vandermause, Jonathan, Batzner, Simon, Xie, Yu, Clark, David, Chen, Wei, and Kozinsky, Boris. Replication Data for: Multitask Machine Learning of Collective Variables for Enhanced Sampling of Rare Events. United States: N. p., 2022. Web. doi:10.7910/DVN/UEK4YH.
Sun, Lixin, Vandermause, Jonathan, Batzner, Simon, Xie, Yu, Clark, David, Chen, Wei, & Kozinsky, Boris. Replication Data for: Multitask Machine Learning of Collective Variables for Enhanced Sampling of Rare Events. United States. doi:https://doi.org/10.7910/DVN/UEK4YH
Sun, Lixin, Vandermause, Jonathan, Batzner, Simon, Xie, Yu, Clark, David, Chen, Wei, and Kozinsky, Boris. 2022. "Replication Data for: Multitask Machine Learning of Collective Variables for Enhanced Sampling of Rare Events". United States. doi:https://doi.org/10.7910/DVN/UEK4YH. https://www.osti.gov/servlets/purl/1873115. Pub date:Tue May 17 04:00:00 UTC 2022
@article{osti_1873115,
title = {Replication Data for: Multitask Machine Learning of Collective Variables for Enhanced Sampling of Rare Events},
author = {Sun, Lixin and Vandermause, Jonathan and Batzner, Simon and Xie, Yu and Clark, David and Chen, Wei and Kozinsky, Boris},
abstractNote = {The data underlying this published work have been made publicly available in this repository as part of the IMASC Data Management Plan. This work was supported as part of the Integrated Mesoscale Architectures for Sustainable Catalysis (IMASC), an Energy Frontier Research Center funded by the U.S. Department of Energy, Office of Science, Basic Energy Sciences under Award # DE-SC0012573.},
doi = {10.7910/DVN/UEK4YH},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Tue May 17 04:00:00 UTC 2022},
month = {Tue May 17 04:00:00 UTC 2022}
}