Neural networks determination of material elastic constants and structures in nematic complex fluids

Supervised machine learning and artificial neural network approaches can allow for the determination of selected material parameters or structures from a measurable signal without knowing the exact mathematical relationship between them. Here, we demonstrate that material nematic elastic constants a...

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Detalles Bibliográficos
Autores principales: Zaplotnik, Jaka, Pišljar, Jaka, Škarabot, Miha, Ravnik, Miha
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10102156/
https://www.ncbi.nlm.nih.gov/pubmed/37055564
http://dx.doi.org/10.1038/s41598-023-33134-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10102156/
https://www.ncbi.nlm.nih.gov/pubmed/37055564
http://dx.doi.org/10.1038/s41598-023-33134-x

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