Improved atomistic Monte Carlo models based on $ab-initio$ -trained neural networks: Application to FeCu and FeCr alloys
- DOI
- 10.1103/physrevb.95.214117
- Published
- 2017-06
- Container
- Physical Review B: Condensed Matter and Materials Physics (1998-2015)
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1103/physrevb.95.214117,
title = {Improved atomistic Monte Carlo models based on \$ab-initio\$ -trained neural networks: Application to FeCu and FeCr alloys},
author = {N. Castin and L. Messina and C. Domain and R. Pasianot and P. Olsson},
year = {2017},
journal = {Physical Review B: Condensed Matter and Materials Physics (1998-2015)},
doi = {10.1103/physrevb.95.214117},
url = {https://doi.org/10.1103/physrevb.95.214117}
}RIS
TY - JOUR TI - Improved atomistic Monte Carlo models based on $ab-initio$ -trained neural networks: Application to FeCu and FeCr alloys AU - N. Castin AU - L. Messina AU - C. Domain AU - R. Pasianot AU - P. Olsson PY - 2017 JO - Physical Review B: Condensed Matter and Materials Physics (1998-2015) DO - 10.1103/physrevb.95.214117 UR - https://doi.org/10.1103/physrevb.95.214117 ER -
APA
Castin, N., Messina, L., Domain, C., Pasianot, R., & Olsson, P. (2017). Improved atomistic Monte Carlo models based on $ab-initio$ -trained neural networks: Application to FeCu and FeCr alloys. Physical Review B: Condensed Matter and Materials Physics (1998-2015). https://doi.org/10.1103/physrevb.95.214117
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- hal · retrieved 2026-09-26T03:20:58.284Z