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