MaterialsAtlas Reading List
Unlocking new possibilities in ionic thermoelectric materials: a machine learning perspective
reading-liststarter-packprimer-papermaterials-benchmarkingmaterials-science
Primer Paper for Materials benchmarking. Primer/perspective candidate for entering Materials benchmarking; selected for broad framing, teachability, venue strength, and citation signal.
Citation: Yidan Wu, Dongxing Song, Meng An, Cheng Chi, Chunyu Zhao. Unlocking new possibilities in ionic thermoelectric materials: a machine learning perspective. National Science Review 2024. https://doi.org/10.1093/nsr/nwae411
Acknowledgement: Curated by MaterialsAtlas Open Resources from OpenAlex, Crossref, and manual landmark-paper review.