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Machine Learning of Coarse-Grained Models for Organic Molecules and Polymers: Progress, Opportunities, and Challenges

[Image: see text] Machine learning (ML) has emerged as one of the most powerful tools transforming all areas of science and engineering. The nature of molecular dynamics (MD) simulations, complex and time-consuming calculations, makes them particularly suitable for ML research. This review article f...

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Detalles Bibliográficos
Autores principales: Ye, Huilin, Xian, Weikang, Li, Ying
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2021
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7841771/
https://www.ncbi.nlm.nih.gov/pubmed/33521417
http://dx.doi.org/10.1021/acsomega.0c05321

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