Information theoretic clustering for coarse-grained modeling of non-equilibrium gas dynamics

DOI10.1016/J.JCP.2024.112977MaRDI QIDQ6553796

Sahil Bhola, Karthik Duraisamy, Ivan Zanardi, M. Panesi, Christian S. Jacobsen

Publication date: 11 June 2024

Published in: Journal of Computational Physics (Search for Journal in Brave)

zbMATH Keywords

clusteringreduced order modelingnon-equilibriumcoarse grainingrate distortion theory

Mathematics Subject Classification ID

Basic methods in fluid mechanics (76Mxx) Graph theory (05Cxx) Numerical methods for partial differential equations, initial value and time-dependent initial-boundary value problems (65Mxx)

Cites Work

• Title not available (Why is that?)
• Incorporating physical constraints in a deep probabilistic machine learning framework for coarse-graining dynamical systems
• Model reduction for multi-scale transport problems using model-form preserving least-squares projections with variable transformation
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• A computational model for nanosecond pulse laser-plasma interactions
• A survey of projection-based model reduction methods for parametric dynamical systems
• Depth-First Search and Linear Graph Algorithms
• Predictive reduced order modeling of chaotic multi-scale problems using adaptively sampled projections

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