Inverse Polymer Design in Non-Reactive Adhesives Using Artificial Intelligence
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Event Details
Objectives:
- Inverse design of polymer development; essentially developing the polymer from intended properties or performance
- The difference between a DOE and AI/Machine Learning
- Ingredient count and control in a hot melt adhesive
- Properties and performance optimization
- Predictive analysis of applications results
- Directionality of a project with low volume data
Who Should Attend:
This is an ideal webinar for professionals in all industries utilizing AI in synthesis, formulation, and application testing across the various markets. Manager, R&D chemists, members of TS&D teams and engineers will learn how to apply the AI tools for faster product development.
SPEAKER
Tim Bizati, Principle Application Development Scientist, Synthomer
Tim Bizati is a Principle Application Development Scientist at Synthomer. Tim leads multiple projects in polyolefin development and applications to durable and consumable markets in the adhesives industry. He is currently leading projects involving the application of Artificial Intelligence to the development and inverse design of Synthomers polyolefin copolymers. He also works with Synthomers tackifier resins in determining polymer compatibility and performance. Tim has an M.S. in chemical engineering from NC state university with a focus on math applications in chemical engineering. He has a total of 17 years in the adhesives and sealants industry and has experience in multiple adhesive chemistries.