Soft materials show complex features over a wide range of length and time scales. We aim to understand the emergent complexity of soft-matter systems by means of computational methods. Our interdisciplinary effort brings in advanced computational methods, theoretical physics and chemistry, as well as more recent data-driven methods. We collaborate tightly with several groups, including UvA's Computational Science Lab, Amsterdam Center for Multiscale Modeling, and experimental Soft Matter Group.
Self-organization and memory in driven disordered materials
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Differentiable Simulations for Mechanical Metamaterial Design
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Autonomous, AI enhanced robotic platforms for efficient and informative data collection of formulation properties
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