Machine Learning and Reverse Engineering for Soft Materials

Data-driven modeling approaches and machine learning have opened new paradigms in the understanding, engineering, and design of colloidal suspensions, complex fluids, granular matter, and other soft matter systems. This workshop will bring together theoretical, computational, and experimental researchers from different scientific communities to advance interdisciplinary collaboration and understanding in data-enabled design of soft materials.