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A framework for machine-learning-augmented multiscale atomistic simulations on parallel supercomputers (2015)

First Author: Caccin M

Attributed to: Hydrogen in metals - from fundamentals to the design of new steels (HEmS) funded by EPSRC

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1002/qua.24952

Publication URI: http://dx.doi.org/10.1002/qua.24952

Type: Journal Article/Review

Parent Publication: International Journal of Quantum Chemistry

Issue: 16