Material transformers: deep learning language models for generative materials design

Review/Survey Paper for Generative materials design. Review/survey candidate for mapping the literature, mechanisms, methods, and open questions in Generative materials design.

Citation: Nihang Fu, Lai Wei, Yuqi Song, Qinyang Li, Rui Xin. Material transformers: deep learning language models for generative materials design. Machine Learning: Science and Technology 2023. https://doi.org/10.1088/2632-2153/acadcd

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