Model Reduction

On the parameter combinations that matter and on those that do not: data-driven studies of parameter (non)identifiability
We present a data-driven approach to characterizing nonidentifiability of a model’s parameters and illustrate it through dynamic as …
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Generalized entropy production analysis for mechanism reduction
The paper introduces a generalized formulation for the computation of the relative contribution of each elementary reaction to the …
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Manifold learning for parameter reduction
Large scale dynamical systems (e.g. many nonlinear coupled differential equations) can often be summarized in terms of only a few state …
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Spectral quasi-equilibrium manifold for chemical kinetics
The Spectral Quasi-Equilibrium Manifold (SQEM) method is a model reduction technique for chemical kinetics based on entropy …
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On the model reduction for chemical and physical kinetics
The need to design of efficient combustion systems with minimal emissions of pollutants has led to the development of large detailed …
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Entropy production analysis for mechanism reduction
A systematic approach based on the relative contribution of each elementary reaction to the total entropy production is developed for …
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Non-perturbative hydrodynamic limits: A case study
We introduce non-perturbative analytical techniques for the derivation of the hydrodynamic manifolds from kinetic equations. The new …
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A similarity solution in order to solve the governing equations of laminar separated fluids with a flat plate
In this paper, the development of local and non-local similarity solutions for laminar flow and heat transfer between two separated …
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