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.
Investigation of rigidity vs. Connectivity Percolation in Dipolar Active Brownian Particles using computer simulations
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Enhancing the Scientific Foundations of Artificial Intelligence and the Scientific Impact of Quantum Computing
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Investigation of band formation in two-dimensional systems of dipolar active Brownian particles using computer simulations
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