MaterialsAtlas Reading List
Defect graph neural networks for materials discovery in high-temperature clean-energy applications
reading-liststarter-packexemplar-paperdefect-engineeringmaterials-science
Exemplar Discovery Paper for Defect engineering. Exemplar discovery paper for Defect engineering; selected as a highly cited or venue-prominent research article rather than a general review.
Citation: Matthew D. Witman, Anuj Goyal, Tadashi Ogitsu, Anthony H. McDaniel, Stephan Lany. Defect graph neural networks for materials discovery in high-temperature clean-energy applications. Nature Computational Science 2023. https://doi.org/10.1038/s43588-023-00495-2
Acknowledgement: Curated by MaterialsAtlas Open Resources from OpenAlex, Crossref, and manual landmark-paper review.