Numerical data and codes are provided to support Pseudo-Markovian models in computational engineering, suggesting new insights.
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.
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Stauffer et al. (2025) studied this question.
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