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Simulating the NaK Eutectic Alloy with Monte Carlo and Machine Learning

Combining atomistic simulations and machine learning techniques can expedite significantly the materials discovery process. We present an application of such methodological combination for the prediction of the melting transition and amorphous-solid behavior of the NaK alloy at the eutectic concentr...

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Detalles Bibliográficos
Autores principales: Reitz, Douglas M., Blaisten-Barojas, Estela
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6346044/
https://www.ncbi.nlm.nih.gov/pubmed/30679496
http://dx.doi.org/10.1038/s41598-018-36574-y