A comparison of data-driven reduced order models for the simulation of mesoscale atmospheric flow-Reference-Cited by-同舟云学术

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A comparison of data-driven reduced order models for the simulation of mesoscale atmospheric flow

Published:2024-01 Issue: Volume:228 Page:104050
ISSN:0168-874X
Container-title:Finite Elements in Analysis and Design
language:en
Short-container-title:Finite Elements in Analysis and Design

Author:

Hajisharifi Arash,Girfoglio Michele,Quaini Annalisa^ORCID,Rozza Gianluigi

Publisher

Elsevier BV

Subject

Applied Mathematics,Computer Graphics and Computer-Aided Design,General Engineering,Analysis

Reference70 articles.

1. Model Order Reduction. Volume 1: System-and Data-Driven Methods and Algorithms;Peter,2021

2. Model Order Reduction: Volume 2: Snapshot-Based Methods and Algorithms;Benner,2020

3. Model order reduction: volume 3 applications;Benner,2020

4. Certified Reduced Basis Methods for Parametrized Partial Differential Equations, Vol. 590;Hesthaven,2016

5. Reduced Order Modeling for Smart Grids’ Simulation and Optimization;Malik,2017

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1. Bridging Large Eddy Simulation and Reduced-Order Modeling of Convection-Dominated Flows through Spatial Filtering: Review and Perspectives;Fluids;2024-08-04

2. An LSTM-enhanced surrogate model to simulate the dynamics of particle-laden fluid systems;Computers & Fluids;2024-08

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