MaterialsAtlas Model

MatterGen: Generative Model for Inorganic Materials Design

materials designgenerative modelinorganic materialsAImachine learningcomputational materials scienceproperty prediction

Official implementation of MatterGen, a generative model for designing inorganic materials across the periodic table. It can be fine-tuned to meet specific property constraints.

Citation: Zeni, Claudio, Robert Pinsler, Daniel Zügner, Andrew Fowler, Matthew Horton, Xiang Fu, Zilong Wang et al. "A generative model for inorganic materials design." Nature 639, no. 8055 (2025): 624-632.

Acknowledgement: Claudio Zeni, Robert Pinsler, Daniel Zügner, Andrew Fowler, Matthew Horton, Xiang Fu, Zilong Wang, Aliaksandra Shysheya, Jonathan Crabbé, Shoko Ueda, Roberto Sordillo, Lixin Sun, Jake Smith, Bichlien Nguyen, Hannes Schulz, Sarah Lewis, Chin-Wei Huang, Ziheng Lu, Yichi Zhou, Han Yang, Hongxia Hao, Jielan Li, Chunlei Yang, Wenjie Li, Ryota Tomioka & Tian Xie

TypeModel
DomainGenerative materials design
LicenseNot specified
ContributorsNot specified