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Leveraging Uncertainty from Deep Learning for Trustworthy Material Discovery Workflows

[Image: see text] In this paper, we leverage predictive uncertainty of deep neural networks to answer challenging questions material scientists usually encounter in machine learning-based material application workflows. First, we show that by leveraging predictive uncertainty, a user can determine t...

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Detalles Bibliográficos
Autores principales: Zhang, Jize, Kailkhura, Bhavya, Han, T. Yong-Jin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2021
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8154239/
https://www.ncbi.nlm.nih.gov/pubmed/34056423
http://dx.doi.org/10.1021/acsomega.1c00975