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Inverse design of nanoporous crystalline reticular materials with deep generative models

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Primer Paper for Generative materials design. Primer/perspective candidate for entering Generative materials design; selected for broad framing, teachability, venue strength, and citation signal.

Citation: Zhenpeng Yao, Benjamín Sánchez-Lengeling, N. Scott Bobbitt, Benjamin J. Bucior, Sai Govind Hari Kumar. Inverse design of nanoporous crystalline reticular materials with deep generative models. Nature Machine Intelligence 2021. https://doi.org/10.1038/s42256-020-00271-1

Acknowledgement: Curated by MaterialsAtlas Open Resources from OpenAlex, Crossref, and manual landmark-paper review.

TypeReading List

DomainGenerative materials design

LicenseScholarly article; see publisher

ContributorsZhenpeng Yao, Benjamín Sánchez-Lengeling, N. Scott Bobbitt, Benjamin J. Bucior, Sai Govind Hari Kumar