09.12.22 - Gerhard Jung "Coarse-Graining Non-Equilibrium Soft Matter Systems"
Laboratoire Charles Coulomb (L2C) CNRS, Montpellier, France
| When | Dec 09, 2022 |
|---|---|
| Where | SR Gustav-Mie-Haus |
| Contact Name | Simone Ortolf |
| Contact Phone | 203-97666 |
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Coarse-Graining Non-Equilibrium Soft Matter Systems
Soft matter systems are often governed by processes on multiple different time and length scales. Bridging the gap between these scales and numerically study emergent behavior of many-body systems thus usually requires the usage of coarse-grained models. In general situations in which the separation of time scales is incomplete, such coarse-grained
models will feature non-Markovian memory effects and colored noise, as suggested by the Mori-Zwanzig formalism. In equilibrium systems, a plethora of methodologies have been derived to construct non-Markovian coarse-grained models and their applicability has been extensively studied. The applicability of these methods, however, becomes questionable in non-equilibrium situations.
In the first part of this talk I will give a (potentially biased) introduction to non-Markovian modeling and give examples for successful applications. Subsequently, I will provide evidence why the presented methodology might not be directly applicable to non-equilibrium systems. In the second part, I will then present a roadmap on how to develop data-driven
non-Markovian models for out-of-equilibrium soft matter systems.
models will feature non-Markovian memory effects and colored noise, as suggested by the Mori-Zwanzig formalism. In equilibrium systems, a plethora of methodologies have been derived to construct non-Markovian coarse-grained models and their applicability has been extensively studied. The applicability of these methods, however, becomes questionable in non-equilibrium situations.
In the first part of this talk I will give a (potentially biased) introduction to non-Markovian modeling and give examples for successful applications. Subsequently, I will provide evidence why the presented methodology might not be directly applicable to non-equilibrium systems. In the second part, I will then present a roadmap on how to develop data-driven
non-Markovian models for out-of-equilibrium soft matter systems.