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Project B1: Inverse problems in coarse-grained particle simulations Coarse-graining (CG) methods are an indispensable tool in computational materials science, but the associated upscaling and downscaling processes have to be designed with great care to allow for a proper interpretation of the computed results. Each of these interscale transfers comes along with important inverse problems to be resolved, most of which are ill-posed, or ill-conditioned at the very least. The purpose of this project is to apply rigorous techniques from the mathematical field of inverse and ill-posed problems to attack these fundamental problems in the multiscale simulation of soft matter, and to provide a mathematically rigorous foundation of existing and/or new upscaling processes. n the first two funding phases we have developed the mathematical foundation for a rigorous analysis of iterative methods that are currently being used for the computation of effective pair potentials of sophisticated CG models. We have used […]

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Projects Dynamics • A2: Dynamically consistent coarse-grained models • A3: Coarse-graining frequency-dependent phenomena and memory in colloidal systems • A4 (E): Understanding Water Relaxation Dynamics at Interfaces • A5 (E): Heat transfer in polymer nanocomposites • A6: Dynamic heterogeneities in coarse-grained and fine-grained models of liquid crystals and ionic liquids • A7: Dynamical coarse-graining for non-equilibrium steady states with stochastic dynamics • A8: Roberto – Improved dynamics in self-consistent field molecular dynamics simulations of polymers • A9: Coarse grained nonequilibrium dynamics of active soft matter • A10 (N): Population control of multiple walker simulations via a birth/death process Particle based coarse-graining and mixed resolution schemes • B1: Inverse problems in coarse-grained particle simulations • B2: Many-body effects and optimized mapping schemes for systematic coarse-graining • B3: Coarse-graining of solvent effects in force-probe molecular dynamics simulations • B4: Equilibrium and non-equilibrium processes in open systems via adaptive resolution simulations • B5: […]

Integrated research training group (IRTG) The integrated research training group (IRTG) of the TRR 146 provides a joint structured graduate education in the area of Computational Materials Science for the graduate students and young postdocs in the TRR 146 as well as other interested candidates working in related areas. The goals of the IRTG are threefold: 1) to provide students with the interdisciplinary background required for the research activities in the TRR 146, and to prepare them for a possible career in the area of theoretical Materials Sciences 2) to ensure common standards in the education of all graduate students in the TRR 146 by means of a well structured supervision and management program, 3) to establish and strengthen links within the TRR 146 already at the level of graduate students and young postdoctoral researchers. Special emphasis is placed on promoting exchange between groups within and outside of the TRR […]

Publications List of all publications sorted by year • 2025 • 2024 • 2023 • 2022 • 2021 • 2020 • 2019 • 2018 • 2017 • 2016 • 2015 • before 2015 2025 – Publications 2024 – Publications 2023 – Publications 2022 – Publications 2021 – Publications 2020 – Publications 2019 – Publications 2018 – Publications 2017 – Publications 2016 – Publications 2015 – Publications pre 2015 – Publications

Organisation Spokesperson Prof. Dr. Friederike Schmid Vice spokespersons Prof. Dr. Kurt Kremer Prof. Dr. Maria Lukáčová Prof. Dr. Nico van der Veg Scientific coordinator Niklas Litzenberger Administration Dr. Markus Haack Board members Prof. Dr. Kurt Kremer Prof. Dr. Benno Liebchen Prof. Dr. Maria Lukáčová Prof. Dr. Friederike Schmid Prof. Dr. Nico van der Vegt

TRR 146 Open Positions In the framework of the TRR 146 “Multiscale simulations methods for Soft-Matter systems” the following job positions have been made available. Please follow the links for further information and instructions for the application. The university intends to increase the number of women amongst its academic personnel and expressly encourages qualified women to apply. Preference will be given to disabled applicants with equal qualifications.