Model reduction in chemical dynamics: slow invariant manifolds, singular perturbations, thermodynamic estimates, and analysis of reaction graph
A.N. Gorban

TL;DR
This paper reviews and introduces advanced methods for reducing complex chemical reaction models, focusing on invariant manifolds, singular perturbations, and thermodynamic estimates to simplify kinetic analysis.
Contribution
It provides a comprehensive overview of existing and recent techniques for model reduction in chemical kinetics, including new developments in invariant manifolds and singular perturbation methods.
Findings
Enhanced methods for invariant manifold computation
New insights into singular perturbation techniques
Advances in reaction mechanism skeletonisation
Abstract
The paper has two goals: It presents basic ideas, notions, and methods for reduction of reaction kinetics models: quasi-steady-state, quasi-equilibrium, slow invariant manifolds, and limiting steps. It describes briefly the current state of the art and some latest achievements in the broad area of model reduction in chemical and biochemical kinetics, including new results in methods of invariant manifolds, computation singular perturbation, bottleneck methods, asymptotology, tropical equilibration, and reaction mechanism skeletonisation.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Code & Models
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
