Probing the Statistical Validity of the Ductile-to-Brittle Transition in Metallic Nanowires Using GPU Computing
- DOI
- 10.1021/ct400885z
- Published
- 2013-11-22
- Container
- Journal of Chemical Theory and Computation
- Publisher
- American Chemical Society (ACS)
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1021/ct400885z,
title = {Probing the Statistical Validity of the Ductile-to-Brittle Transition in Metallic Nanowires Using GPU Computing},
author = {William R. French and Amulya K. Pervaje and Andrew P. Santos and Christopher R. Iacovella and Peter T. Cummings},
year = {2013},
journal = {Journal of Chemical Theory and Computation},
doi = {10.1021/ct400885z},
url = {https://doi.org/10.1021/ct400885z}
}RIS
TY - JOUR TI - Probing the Statistical Validity of the Ductile-to-Brittle Transition in Metallic Nanowires Using GPU Computing AU - William R. French AU - Amulya K. Pervaje AU - Andrew P. Santos AU - Christopher R. Iacovella AU - Peter T. Cummings PY - 2013 JO - Journal of Chemical Theory and Computation DO - 10.1021/ct400885z UR - https://doi.org/10.1021/ct400885z ER -
APA
French, W. R., Pervaje, A. K., Santos, A. P., Iacovella, C. R., & Cummings, P. T. (2013). Probing the Statistical Validity of the Ductile-to-Brittle Transition in Metallic Nanowires Using GPU Computing. Journal of Chemical Theory and Computation. https://doi.org/10.1021/ct400885z
Source records
- crossref · retrieved 2026-09-25T15:07:59.490Z