High Throughput and Data Science for Material Innovation Concept and Application Examples

This webinar series explores the potential of scientifically-aware data science platform built to accelerate innovation and streamline workflows for material innovation. The webinar series will have two talks. 

The first is to show how one can easily frame a scientific high throughput workflow using BIOVIA PIPELINE PILOT together with BIOVIA MATERIALS STUDIO with AI tools and second by Prof. Daniel PACKWOOD to talk about application of BIOVIA PIPELINE PILOT with Machine Learning to solve real life material innovation applications.

The Webinar Series offers two sessions.

Outline:

• Talk 1: High throughput and data science for material Innovation concept
  (Nov. 11, 2026,16:00-17:30 JST)
• Talk 2: High-throughput computation and data science for metal-organic framework (MOF) and covalent-organic framework (COF) materials
  ​​​​​​​(Nov. 18, 2026,16:00-17:30 JST)