Pinned
I'm excited to have contributed to a paper published in JACS!
Here, I generated ~90 crystal physics-based features for ~2,000 .cif files using my cifkit Python package.
Colleagues from CUNY and IIT then applied clustering models and experimentally validated the predictions.
Unsupervised Machine Learning Prediction of a Novel 1:3 Intermetallic Phase with the Synthesis of TbIr3 (PuNi3-type) as Experimental Validation | Journal of the American Chemical Society @kgpians @Hunter_College pubs.acs.org/doi/10.1021/ja…
