Data-driven variational multiscale reduced order models

From MaRDI portal
Publication:2020754

DOI10.1016/j.cma.2020.113470zbMath1506.65158arXiv2002.06457OpenAlexW3006507139MaRDI QIDQ2020754

Omer San, Leo G. Rebholz, Changhong Mou, Birgul Koc, Traian Iliescu

Publication date: 26 April 2021

Published in: Computer Methods in Applied Mechanics and Engineering (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2002.06457



Related Items

An efficient data-driven multiscale stochastic reduced order modeling framework for complex systems, A non‐linear non‐intrusive reduced order model of fluid flow by auto‐encoder and self‐attention deep learning methods, Variational multiscale super‐resolution: A data‐driven approach for reconstruction and predictive modeling of unresolved physics, Artificial neural network based correction for reduced order models in computational fluid mechanics, Pressure data-driven variational multiscale reduced order models, Physics Guided Machine Learning for Variational Multiscale Reduced Order Modeling, A causality-based learning approach for discovering the underlying dynamics of complex systems from partial observations with stochastic parameterization, \textit{FastSVD-ML-ROM}: a reduced-order modeling framework based on machine learning for real-time applications, A multifidelity deep operator network approach to closure for multiscale systems, Operator inference with roll outs for learning reduced models from scarce and low-quality data, Forward sensitivity analysis and mode dependent control for closure modeling of Galerkin systems, Uniform bounds with difference quotients for proper orthogonal decomposition reduced order models of the Burgers equation, Hybrid data-driven closure strategies for reduced order modeling, Data-driven closure of projection-based reduced order models for unsteady compressible flows, Reduced order models for Lagrangian hydrodynamics, Intrusive and data-driven reduced order modelling of the rotating thermal shallow water equation, Full and reduced order model consistency of the nonlinearity discretization in incompressible flows, Local Lagrangian reduced-order modeling for the Rayleigh-Taylor instability by solution manifold decomposition, Verifiability of the data-driven variational multiscale reduced order model


Uses Software


Cites Work