z-logo
open-access-imgOpen Access
Implanted neural network potentials: Application to Li-Si alloys
Author(s) -
Berk Onat,
Ekin D. Cubuk,
Brad D. Malone,
Efthimios Kaxiras
Publication year - 2018
Publication title -
physical review. b./physical review. b
Language(s) - Uncategorized
Resource type - Journals
SCImago Journal Rank - 1.78
H-Index - 465
eISSN - 2469-9969
pISSN - 2469-9950
DOI - 10.1103/physrevb.97.094106
Subject(s) - artificial neural network , materials science , character (mathematics) , amorphous solid , amorphous metal , range (aeronautics) , computer science , diffusion , point (geometry) , key (lock) , artificial intelligence , alloy , thermodynamics , physics , metallurgy , mathematics , composite material , chemistry , geometry , organic chemistry , computer security

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here