Sterling Baird PhD Defense on materials discovery, optimization, self-driving labs скачать в хорошем качестве

Sterling Baird PhD Defense on materials discovery, optimization, self-driving labs

Sterling Baird's PhD dissertation at the University of Utah Materials Science & Engineering Department from August 2023 entitled "Data-driven materials discovery: novel discovery, Bayesian optimization, and self-driving labs" 0:00 - Why materials discovery? 6:10 - Ph.D. contributions 8:55 - Novel Discovery 13:47 - Screening for high-temperature superconductors 15:03 - Novel Discovery Q&A 22:31 - Traditional DoE vs. Bayesian Optimization 34:54 - High-dimensional Bayesian optimization 51:19 - Constrained Bayesian optimization 59:51 - What new materials did you discover? 1:11:16 - A new tool for learning Bayesian optimization 1:12:57 - Self-driving laboratories 1:24:38 - Call to action 1:26:09 - General Q&A