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IRTG Programming School 2023 – Program During the Programming School we will cover: Coarse-graining, deep learning, finite element methods, computational fluid dynamics, machine learning und stochastic processes. Monday, 25.09.2023 11:00-12:00 Talk about Machine Learning by Michael Wand 12:00-13:00 Tutorial on Machine Learning by Kyra Klos and Alexander Segner 13:00-14:00 Lunch 14:00-15:00 Talk about Deep Learning by Michael Wand 15:00-15:30 Coffee Break 15:30-17:30 Tutorial on Deep Learning by Kyra Klos and Alexander Segner 18:15-19:00 Dinner (only for people staying overnight)   Tuesday, 26.09.2023 10:00-11:00 Talk about the Finite Element Method by Aaron Brunk 11:00-11:30 Coffee Break 11:30-12:30 Talk about Comutational Fluid Dynamics by Aaron Brunk 12:30-13:30 Lunch 13:30-15:00 Tutorial 1 on Computational Fluid Dynamics using the Finite Element Method by Aaron Brunk 15:30-16:00 Coffee Break 16:00-17:30 Tutorial 2 on Computational Fluid Dynamics using the Finite Element Method by Aaron Brunk 18:15-19:00 Dinner (only for people staying overnight)   Wednesday, 27.09.2023 10:00-11:00 […]

Project B8 (N): Hydrodynamic Simulation of Passive and Active Janus Particles Janus particles are colloidal particles whose surface has been modified differently in different locations, creating so-called patches. The patches are designed in a way to generate directional interactions between the Janus particles. Janus particles, therefore, often self-assemble into ordered structures, commonly referred to as lattices or crystal structures, even though the system still is a colloidal solution. By variation of the chemical nature, size and location of the patches, a rich set of lattice structures is accessible. In our work so far, we have focused on triblock Janus particles, which carry attractive van-der-Waals patches on the poles and repulsive electrostatic charges around the equator. We developed a detailed dissipative-particle dynamics model for them, which includes surface chemistry and explicit solvent molecules. With this model and our newly devised adaptive metadynamics method, we could clarify their self-assembly into two-dimensional ordered […]

Prof. Dr. Yongqi Wang Department of Mechanical Engineering Technische Universität Darmstadt Otto-Berndt-Str. 2 D-64287 Darmstadt Tel: +49 6151 1626202 Fax: +49 6151 1626203 Mail: wang@fdy.tu-darmstadt.de Further information

Prof. Dr. Florian Müller-Plathe Institut für Physikalische Chemie Technische Universität Darmstadt Alarich-Weiss-Str. 8 D-64287 Darmstadt Tel: +49 6151 16-22621 Fax: +49 6151 16-22619 Mail: f.mueller-plathe@theo.chemie.tu-darmstadt.de Further information

Project C7: Dense active suspensions in the chaotic regime Active matter has become a quickly evolving field spanning from biology and physics to chemistry and engineering. Its defining property is the directed motion—translational, rotational, or both—of its constituents. This directed motion requires the steady input of free energy. Freed from the constraints of thermal equilibrium, active matter exhibits a wide range of novel phenomena; on the level of its single constituents up to emergent many-body collective and dynamic behavior. Extensively studied have been the aggregation of active particles into clusters, swarms, and other highly collective and dynamics states; but also spontaneous flow states where sufficiently high activity triggers the transition from a quiescent to a flowing fluid. At high densities, chaotic behavior has been reported in suspensions of bacteria and in numerical simulations. The aim of this project is to develop a comprehensive multiscale framework that bridges the properties of […]