Low-Dimensional Materials Growth
Low-Dimensional Materials Growth, Properties and Performance
We harness the power of low-dimensional materials data and advanced computational modeling techniques to reveal processing-structure-property-performance relationships. The projects include:
- Machine learning-assisted study of precursors and their interactions with substrates to guide materials synthesis
- Combined machine learning and thermodynamic calculations to design heterostructured materials for electronic applications
![mx2-Hetero](https://www.boisestate.edu/coen-mtmg/wp-content/uploads/sites/682/2019/11/mx2-Hetero-1024x576-300x169.png)
![Graph](https://www.boisestate.edu/coen-mtmg/wp-content/uploads/sites/682/2019/11/ML-300x215.png)
In collaboration with the Atomic Films Lab