English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT

Released

Journal Article

Computational study of crystal defect formation in Mo by a machine learning molecular dynamics potential

MPS-Authors
/persons/resource/persons230634

Dominguez Gutierrez,  F. J.
Numerical Methods in Plasma Physics (NMPP), Max Planck Institute for Plasma Physics, Max Planck Society;
External Organizations;

/persons/resource/persons110652

Toussaint,  U. von
Numerical Methods in Plasma Physics (NMPP), Max Planck Institute for Plasma Physics, Max Planck Society;

External Resource
Fulltext (restricted access)
There are currently no full texts shared for your IP range.
Fulltext (public)
There are no public fulltexts stored in PuRe
Supplementary Material (public)
There is no public supplementary material available
Citation

Dominguez Gutierrez, F. J., Byggmästar, J., Nordlund, K., Djurabekova, F., & Toussaint, U. v. (2021). Computational study of crystal defect formation in Mo by a machine learning molecular dynamics potential. Modelling and Simulation in Materials Science and Engineering, 29(5): 055001. doi:10.1088/1361-651X/abf152.


Cite as: https://hdl.handle.net/21.11116/0000-0008-A6F5-8
Abstract
There is no abstract available