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Benchmark datasets incorporating diverse tasks, sample sizes, material systems, and data heterogeneity for materials informatics

Materials discovery via machine learning has become an increasingly popular method due to its ability to rapidly predict materials properties in a time-efficient and low-cost manner. However, one limitation in this field is the lack of benchmark datasets, particularly those that encompass the size,...

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Detalles Bibliográficos
Autores principales: Henderson, Ashley N., Kauwe, Steven K., Sparks, Taylor D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8319566/
https://www.ncbi.nlm.nih.gov/pubmed/34345637
http://dx.doi.org/10.1016/j.dib.2021.107262