Development of scalable and generalizable machine learned force field for polymers

Understanding and predicting the properties of polymers is vital to developing tailored polymer molecules for desired applications. Classical force fields may fail to capture key properties, for example, the transport properties of certain polymer systems such as polyethylene glycol. As a solution,...

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Detalles Bibliográficos
Autores principales: Mohanty, Shaswat, Stevenson, James, Browning, Andrea R., Jacobson, Leif, Leswing, Karl, Halls, Mathew D., Afzal, Mohammad Atif Faiz
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10567837/
https://www.ncbi.nlm.nih.gov/pubmed/37821501
http://dx.doi.org/10.1038/s41598-023-43804-5

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10567837/
https://www.ncbi.nlm.nih.gov/pubmed/37821501
http://dx.doi.org/10.1038/s41598-023-43804-5

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