Fingerprint
Dive into the research topics of 'A novel physics-regularized interpretable machine learning model for grain growth'. Together they form a unique fingerprint.- Sort by
- Weight
- Alphabetically
A novel physics-regularized interpretable machine learning model for grain growth
Weishi Yan, Joseph Melville, Vishal Yadav, Kristien Everett, Lin Yang, Michael S. Kesler, Amanda R. Krause, Michael R. Tonks, Joel B. Harley
Research output: Contribution to journal › Article › peer-review