Data-centric approach to improve machine learning models for inorganic materials

Pandey et al. (2021) demonstrate the importance of diversifying training data to make balanced predictions of thermodynamic properties for inorganic crystals.

Detalles Bibliográficos
Autor principal: Bartel, Christopher J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
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Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8600243/
https://www.ncbi.nlm.nih.gov/pubmed/34820652
http://dx.doi.org/10.1016/j.patter.2021.100382

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8600243/
https://www.ncbi.nlm.nih.gov/pubmed/34820652
http://dx.doi.org/10.1016/j.patter.2021.100382

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