Data-driven stochastic modeling of coarse-grained dynamics with finite-size effects using Langevin regression
type: Item
instance of: scholarly article
title: Data-driven stochastic modeling of coarse-grained dynamics with finite-size effects using Langevin regression
author: Jordan Snyder
author: Jared L. Callaham
author: S. L. Brunton
author: J. N. Kutz
published in: Physica D
publication date: 2022-02-21T00:00:00Z
full work available at URL: https://arxiv.org/abs/2103.16791
Mathematics Subject Classification ID: 82Cxx
zbMATH DE Number: 7477799
zbMATH Keywords: coupled oscillators
zbMATH Keywords: stochastic modeling
zbMATH Keywords: finite-size effects
zbMATH Keywords: coarse-graining
zbMATH Keywords: data-driven methods
describes a project that uses: DifferentialEquations.jl
describes a project that uses: NeuralPDE.jl
describes a project that uses: SciPy
describes a project that uses: Python
MaRDI profile type: Publication
OpenAlex ID: W3194109538
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DOI: 10.1016/J.PHYSD.2021.133004
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description: scientific article; zbMATH DE number 7477799