In this discussion, we explore the fast-changing role of modeling and machine learning in formulation design, shifting from a supportive tool to a driving force of innovation. Once a “nice to have,” computational modeling is now reducing reliance on costly, time-intensive experiments and accelerating product development across industries, from consumer goods to aerospace and semiconductors. We’ll highlight how advances in AI/ML and physics-based simulations are helping researchers manage the growing complexity of real-world formulations, bridging the gap between theory and commercial products. Whether you’re a formulation scientist, data enthusiast, or R&D leader, this session sheds light on how digital tools are reshaping the lab and the future of product innovation.

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