Evidence map›Paper›PMID 40028626›Full record

ArticleJournal of statistical physics2025

A Hybrid Approach to Model Reduction of Generalized Langevin Dynamics.

Matteo Colangeli, Manh Hong Duong, Adrian Muntean

Abstract read
In one paragraph

Article in Journal of statistical physics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Scaling Analysis of Seismic Ground Motion Signals.Entropy (Basel, Switzerland) · 2026
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Matteo ColangeliDepartment of Information Engineering, Computer Science and Mathematics, University of L'Aquila, L'Aquila, Italy.ORCID 0000-0002-7424-7888
Manh Hong DuongSchool of Mathematics, University of Birmingham, Birmingham, UK.ORCID 0000-0002-4361-0795
Adrian MunteanDepartment of Mathematics and Computer Science & Centre for Societal Risk Research (CSR), Karlstad University, Karlstad, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We consider a classical model of non-equilibrium statistical mechanics accounting for non-Markovian effects, which is referred to as the Generalized Langevin Equation in the literature. We derive reduced Markovian descriptions obtained through the neglection of inertial terms and/or heat bath variables. The adopted reduction scheme relies on the framework of the Invariant Manifold method, which allows to retain the slow degrees of freedom from a multiscale dynamical system. Our approach is also rooted on the Fluctuation-Dissipation Theorem, which helps preserve the proper dissipative structure of the reduced dynamics. We highlight the appropriate time scalings introduced within our procedure, and also prove the commutativity of selected reduction paths.

Indexed as

Fluctuation–dissipation theoremGeneralized Langevin dynamicsInvariant manifold methodModel reduction

Identifiers

PMID40028626
PMCPMC11868296

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.