Designing exceptional gas-separation polymer membranes using machine learning

The field of polymer membrane design is primarily based on empirical observation, which limits discovery of new materials optimized for separating a given gas pair. Instead of relying on exhaustive experimental investigations, we trained a machine learning (ML) algorithm, using a topological, path-b...

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Detalles Bibliográficos
Autores principales: Barnett, J. Wesley, Bilchak, Connor R., Wang, Yiwen, Benicewicz, Brian C., Murdock, Laura A., Bereau, Tristan, Kumar, Sanat K.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Association for the Advancement of Science 2020
Materias:
Research Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7228755/
https://www.ncbi.nlm.nih.gov/pubmed/32440545
http://dx.doi.org/10.1126/sciadv.aaz4301

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7228755/
https://www.ncbi.nlm.nih.gov/pubmed/32440545
http://dx.doi.org/10.1126/sciadv.aaz4301

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