Machine Learning and AI in Research and Design

Chair(s)

• 

  Jeffrey Sanders, PhD

  CPG Product Manager
  Materials Science
  Schrodinger
  New York, New York, United States

Abstract: This session is intended to expose and educate members on machine learning and artificial intelligence methods are they are applied to research areas of the AOCS. A focus on model development that has a direct impact on research, business, and innovation will be emphasized. A clear connection from model development to research/business outcomes should be made. Attendees should walk away with a greater understanding of how these methods are being applied today, and how they might be utilized in their own work.

Presentations:

• 8:30 AM – 8:50 AM MDT

  Machine-learning-guided molecular simulations for development of cosmetic formulations
  

  Author: Benjamin Coscia, PhD
• 8:50 AM – 9:10 AM MDT

  Using physics-informed neural networks on inversed problems in food materials
  

  Author: Jiakai Liu, PhD
• 9:10 AM – 9:30 AM MDT

  Combining machine learning and physics-based analysis: the best of both worlds for product research and development
  

  Author: Jeffrey Sanders, PhD – Schrodinger