(164a) Accelerated Coatings Development with High Throughput Technology and Digital Infrastructure

While the concept and use of high throughput experimentation and automation is prevalent in pharmaceutical industries, the materials industry is still in its nascent stage and faces unique challenges. These challenges are especially onerous when dealing with complex formulations such as paints and coatings that comprise of many inorganic and macromolecular materials. Furthermore, collecting relevant experimental data to describe formulations is an exhaustive, time-consuming process, and even after the large data collection, a deficient data infrastructure will hinder data analysis and subsequent insights. This talk will provide an overview of Dow Coating Materials' transformational journey towards creating, handling, and storing data more efficiently. This transformation has allowed seamless integration of data with various machine learning and advanced statistics techniques to deploy new digital applications for data driven product development.