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Learning physical properties of liquid crystals with deep convolutional neural networks

Machine learning algorithms have been available since the 1990s, but it is much more recently that they have come into use also in the physical sciences. While these algorithms have already proven to be useful in uncovering new properties of materials and in simplifying experimental protocols, their...

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Detalles Bibliográficos
Autores principales: Sigaki, Higor Y. D., Lenzi, Ervin K., Zola, Rafael S., Perc, Matjaž, Ribeiro, Haroldo V.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7203147/
https://www.ncbi.nlm.nih.gov/pubmed/32376993
http://dx.doi.org/10.1038/s41598-020-63662-9