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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...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2023
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| Materias: | |
| 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 |