GLIMPS: A Machine Learning Approach to Resolution Transformation for Multiscale Modeling

GLIMPS: A Machine Learning Approach to Resolution Transformation for Multiscale Modeling Article

Louison, Keverne A, Dryden, Ian L, Laughton, Charles A. (2021). GLIMPS: A Machine Learning Approach to Resolution Transformation for Multiscale Modeling . JOURNAL OF CHEMICAL THEORY AND COMPUTATION, 17(12), 7930-7937. 10.1021/acs.jctc.1c00735

Open Access International Collaboration

cited authors

Louison, Keverne A; Dryden, Ian L; Laughton, Charles A

sustainable development goals

SDG 03: Good Health and Well-being

authors

Dryden, Ian

publication date

December 14, 2021

webpage

https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000752980200047&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=e451fd656366bf1ec5554941920a9ccb

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JOURNAL OF CHEMICAL THEORY AND COMPUTATION Journal

keywords

Chemistry
Chemistry, Physical
Physical Sciences
Physics
Physics, Atomic, Molecular & Chemical
REGRESSION
SOFTWARE
Science & Technology

FIU Discovery

GLIMPS: A Machine Learning Approach to Resolution Transformation for Multiscale Modeling Article

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sustainable development goals

authors

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