Formulating with Intelligence: Machine Learning in the Coatings Laboratory

Artificial intelligence and machine learning applications are making broad and deep impacts in diverse fields and industries around the world. Polymer chemists are familiar with structure-property relationships that are used to describe the properties of macromolecules. Coatings formulators are becoming more adept at using principles of statistics and designed experiments to more thoroughly optimize their formulations and production processes. This tutorial will introduce attendees to a new way of approaching formulation science which augments traditional thinking with artificial intelligence (AI) and machine learning (ML) tactics and strategies. Strategies for implementing AI/ML workflows in the laboratory will be discussed, as well as approaches for handling unstructured, textual data. No prior mathematical or computational background is expected of attendees.

Stated registration fees are net prices.