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.
Elasticity, Stress, and Activity: An Intriguing Interplay
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Machine learning based models of plant protein mixtures for sustainable food design
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Geometric origin of particle and dislocation dynamics during grain boundary migration
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