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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| Other Authors: | , , |
| Format: | article |
| Language: | eng |
| Published: |
2021
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| Online Access: | http://hdl.handle.net/10400.14/34258 |
| Country: | Portugal |
| Oai: | oai:repositorio.ucp.pt:10400.14/34258 |