Talk 1: High Throughput and Data Science for Material Innovation

This presentation begins with an introduction to BIOVIA Pipeline Pilot to show how to create workflows for complicated material innovation themes to support Material Informatics. complementing Materials Studio's powerful computational science tools by providing features that reduce the time required for calculations and processing. The Materials Studio Collection integrates the capabilities of these two products, providing modelers with new, more productive tools and enabling the sharing of superior workflows across the entire enterprise. We will showcase how this approach will show how Python scripting and the fine-tuning of machine-learned force fields while combined with this workflow to help material innovation. 

Key values like 

• In Silico Testing: Reduces costly and time-consuming physical laboratory experiments by evaluating candidate materials virtually first.
• Cross-Industry Application: Applied widely in developing batteries, catalysts, polymers, semiconductors, solar cells, OLEDs and many others.