Model reduction techniques for the computation of extended Markov parameterizations for generalized Langevin equations

The generalized Langevin equation is a model for the motion of coarse-grained particles where dissipative forces are represented by a memory term. The numerical realization of such a model requires the implementation of a stochastic delay-differential equation and the estimation of a corresponding m...

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Veröffentlicht in:	Journal of physics. Condensed matter 2021-05, Vol.33 (21), p.214003
Hauptverfasser:	Bockius, N, Shea, J, Jung, G, Schmid, F, Hanke, M
Format:	Artikel
Sprache:	eng
Schlagworte:	coarse-graining exponential interpolation model reduction nonsymmetric Lanczos method positive real lemma Prony’s method
Online-Zugang:	Volltext
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