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Generative Models for Extrapolation Prediction in Materials Informatics

[Image: see text] We report a deep generative model for regression tasks in materials informatics. The model is introduced as a component of a data imputer and predicts more than 20 diverse experimental properties of organic molecules. The imputer is designed to predict material properties by “imagi...

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Detalles Bibliográficos
Autores principales: Hatakeyama-Sato, Kan, Oyaizu, Kenichi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2021
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8190893/
https://www.ncbi.nlm.nih.gov/pubmed/34124480
http://dx.doi.org/10.1021/acsomega.1c01716

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