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...

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Detalles Bibliográficos
Autores principales: Mao, Yuwei, Yang, Zijiang, Jha, Dipendra, Paul, Arindam, Liao, Wei-keng, Choudhary, Alok, Agrawal, Ankit
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2022
Materias:
Technical Article
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

Internet

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

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