Neural-network approach to modeling liquid crystals in complex confinement
Finding the structure of a confined liquid crystal is a difficult task since both the density and order parameter profiles are nonuniform. Starting from a microscopic model and density-functional theory, one has to either (i) solve a nonlinear, integral Euler-Lagrange equation, or (ii) perform a dir...
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| Outros Autores: | , , |
| Formato: | article |
| Idioma: | eng |
| Publicado em: |
2014
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| Assuntos: | |
| Texto completo: | http://hdl.handle.net/10400.21/3642 |
| País: | Portugal |
| Oai: | oai:repositorio.ipl.pt:10400.21/3642 |