Learning Physics-Based Reduced-Order Models for a Single-Injector Combustion Process

Volume: 58, Issue: 6, Pages: 2658 - 2672
Published: Mar 19, 2020
Abstract
This paper presents a physics-based data-driven method to learn predictive reduced-order models (ROMs) from high-fidelity simulations and illustrates it in the challenging context of a...
Paper Details
Title
Learning Physics-Based Reduced-Order Models for a Single-Injector Combustion Process
Published Date
Mar 19, 2020
Volume
58
Issue
6
Pages
2658 - 2672
Citation AnalysisPro
  • Scinapse’s Top 10 Citation Journals & Affiliations graph reveals the quality and authenticity of citations received by a paper.
  • Discover whether citations have been inflated due to self-citations, or if citations include institutional bias.