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Generative Adversarial Networks and Mixture Density Networks-Based Inverse Modeling for Microstructural Materials Design
There are two broad modeling paradigms in scientific applications: forward and inverse. While forward modeling estimates the observations based on known causes, inverse modeling attempts to infer the causes given the observations. Inverse problems are usually more critical as well as difficult in sc...
| Autores principales: | , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer International Publishing
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9744696/ https://www.ncbi.nlm.nih.gov/pubmed/36530375 http://dx.doi.org/10.1007/s40192-022-00285-0 |