| Predicting the thermodynamic stability of perovskite oxides using machine learning models W Li, R Jacobs, D Morgan Computational Materials Science 150, 454-463, 2018 | 192 | 2018 |
| Automated defect analysis in electron microscopic images W Li, KG Field, D Morgan npj Computational Materials 4 (1), 36, 2018 | 130 | 2018 |
| Multi defect detection and analysis of electron microscopy images with deep learning M Shen, G Li, D Wu, Y Liu, JRC Greaves, W Hao, NJ Krakauer, L Krudy, ... Computational Materials Science 199, 110576, 2021 | 37 | 2021 |
| Effects of silver nanoparticles on the firing behavior of silver paste on crystalline silicon solar cells W Li, T Wu, R Jiao, BP Zhang, S Li, Y Zhou, L Li Colloids and Surfaces A: Physicochemical and Engineering Aspects 466, 132-137, 2015 | 30 | 2015 |
| Data and Supplemental information for predicting the thermodynamic stability of perovskite oxides using machine learning models W Li, R Jacobs, D Morgan Data in brief 19, 261-263, 2018 | 4 | 2018 |
| Machine Learning Applications and Opportunities in Nuclear Materials D Morgan, W Li, T Mayeshiba, H Wu, B Afflerbach, P Wells, GR Odette, ... Transactions 118 (1), 1347-1349, 2018 | | 2018 |
Dane MorganUniversity of Wisconsin, Materials ScienceVerified email at wisc.edu
