Designing new materials with informatics-driven approaches is an exciting field, that has shown promise. In particular, there has been extensive work in the community that relies on using in silico materials modeling techniques in combination with machine learning/artificial intelligence algorithms to design new materials. However, the ability to go from material chemistry, to process, and ultimately to a desired property remains a challenge. In this talk I provide an overview of where such methods are within the glass manufacturing industry, and challenges/opportunities that remain.
Dr. Botu is a senior research scientist within the Modeling & Computational Science’s directorate at Corning’s Research & Development facility in Corning, NY. Since joining Corning in 2016, he has been involved in designing next generation glass chemistries and coatings using materials modeling methods. Since 2018, he has been leading efforts on (i) materials informatics and (ii) product development for laminate glasses. Dr. Botu obtained his PhD degree in Chemical Engineering from Dr. Rampi Ramprasad’s group at the University of Connecticut, where his focus was on combining ab initio techniques with machine learning methods for surface chemistry applications.