Machine Learning based prediction of noncentrosymmetric crystal materials

Primer Paper for Property prediction. Primer/perspective candidate for entering Property prediction; selected for broad framing, teachability, venue strength, and citation signal.

Citation: Yuqi Song, Joseph Lindsay, Yong Zhao, Alireza Nasiri, Steph-Yves Louis. Machine Learning based prediction of noncentrosymmetric crystal materials. Computational Materials Science 2020. https://doi.org/10.1016/j.commatsci.2020.109792

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