Efficient data-driven regression for reduced-order modeling of spatial pattern formation
Open Access
- 13 March 2026
- journal article
- Published by Elsevier in Journal of Computational Physics
- Vol. 557
Abstract
No abstract availableFunding Information
- Air Force Office of Scientific Research (FA9550-26-1-0002)
- Ministero dell'Istruzione e del Merito
- European Commission
- Ministero dell’Istruzione, dell’Università e della Ricerca (P2022238YY5)
This publication has 43 references indexed in Scilit:
- Piecewise DMD for oscillatory and Turing spatio-temporal dynamicsComputers & Mathematics with Applications, 2024
- LaSDI: Parametric Latent Space Dynamics IdentificationComputer Methods in Applied Mechanics and Engineering, 2022
- Coupled and uncoupled dynamic mode decomposition in multi-compartmental systems with applications to epidemiological and additive manufacturing problemsComputer Methods in Applied Mechanics and Engineering, 2022
- Matrix-oriented discretization methods for reaction–diffusion PDEs: Comparisons and applicationsComputers & Mathematics with Applications, 2020
- Mathematical Analysis of a Chemotaxis-Type Model of Soil Carbon DynamicChinese Annals of Mathematics, Series B, 2018
- Data-driven operator inference for nonintrusive projection-based model reductionComputer Methods in Applied Mechanics and Engineering, 2016
- A Data–Driven Approximation of the Koopman Operator: Extending Dynamic Mode DecompositionJournal of Nonlinear Science, 2015
- Spatio-temporal organization in alloy electrodeposition: a morphochemical mathematical model and its experimental validationJournal of Solid State Electrochemistry, 2012
- Aggregating pattern dynamics in a chemotaxis model including growthPhysica A: Statistical Mechanics and its Applications, 1996
- Flame propagation in a substance reacting at initial temperatureCombustion and Flame, 1980