Accelerating materials development with data science
To get ready to teach online in the fall, I ran a summer offering of Data Science for Olin Alumni.
Naive model metrics can be misleading when using AI for materials discovery. I introduced techniques to better assess a model's suitability for guiding materials development.
High-dimensional simulation data can be difficult to analyze. In this work I merged physical insights with data-driven techniques to perform *data-driven dimensional analysis*.