What question did this study set out to answer?

This research aims to present a new numerical method, the Pseudo-Markovian approach, to analyze probability flows.

April 14, 20260 citationsOpen Access

Surrogate trajectories along probability flows: Pseudo-Markovian alternative to Mori-Zwanzig

NSNoé StaufferÉcole Polytechnique Fédérale de Lausanne HGHossein GorjiSwiss Federal Laboratories for Materials Science and Technology ILIvan LunatiSwiss Federal Laboratories for Materials Science and Technology

Key Points

This research aims to present a new numerical method, the Pseudo-Markovian approach, to analyze probability flows.
Provided numerical data and codes for experiments
Developed Pseudo-Markovian models
Applied Mori-Zwanzig framework to test surrogate trajectories
Successful demonstration of surrogate trajectory modeling
Enhanced understanding of probability flows
Validation of Pseudo-Markovian methods against established frameworks

Abstract

This project provides the numerical data and codes employed to genereate the results of the numerical experiments in the article: "Surrogate trajectories along probability flows: a Pseudo-Markovian alternative to Mori-Zwanzig". Authors: - Noé Stauffer, noe.stauffer@empa.ch Laboratory for Computational Engineering, Empa (Swiss Federal Laboratories for Materials Science and Technology) Chair of Scientific Computing and Uncertainty Quantification, EPFL (Swiss Federal Institute of Technology in Lausanne) - Hossein Gorji, mohammadhossein.gorji@empa.ch, Laboratory for Computational Engineering, Empa (Swiss Federal Laboratories for Materials Science and Technology) - Ivan Lunati, Laboratory for Computational Engineering, Empa (Swiss Federal Laboratories for Materials Science and Technology)

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