MaterialsAtlas Reading List

cardiGAN: A generative adversarial network model for design and discovery of multi principal element alloys

reading-liststarter-packexemplar-papergenerative-materials-designmaterials-science

Exemplar Discovery Paper for Generative materials design. Exemplar discovery paper for Generative materials design; selected as a highly cited or venue-prominent research article rather than a general review.

Citation: Z. Li, W.T. Nash, S.P. O'Brien, Y. Qiu, R.K. Gupta. cardiGAN: A generative adversarial network model for design and discovery of multi principal element alloys. Journal of Materials Science & Technology 2022. https://doi.org/10.1016/j.jmst.2022.03.008

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

TypeReading List
DomainGenerative materials design
LicenseScholarly article; see publisher
ContributorsZ. Li, W.T. Nash, S.P. O'Brien, Y. Qiu, R.K. Gupta