PyCSP is a Python package for the analysis and simplification of chemically reacting
systems, using algorithms based on the Computational Singular Perturbation (CSP) theory …

Abstract Moderate or Intense Low-oxygen Dilution (MILD) combustion has drawn increasing
attention as it allows to avoid the thermo-chemical conditions prone to the formation of …

Turbulent premixed flames at high Karlovitz numbers exhibit highly complex structures in
different reactive scalar fields to the extent that the definition of the flame front in an …

A brief review of the development of ideas on extremal principles in the theory of heat and
mass transfer processes (including those in reacting media) is given. The extremal …

There is a growing interest in leaner burning internal combustion engines as an enabler for
higher thermodynamic efficiency. The extension of knock-limited compression ratio and the …

An improved algorithm to generate skeletal mechanisms from the original detailed chemical
kinetic mechanisms is proposed. The new algorithm builds on the computational singular …

The G-Scheme is a well established framework for multi-scale adaptive model reduction,
whose effectiveness was demonstrated with reference to a number of test models, together …

This article presents a numerical study of a jet-in-hot-coflow (JHC) burner which emulates
Moderate or Intense Low-oxygen Dilution (MILD) conditions. Such combustion regime offers …

This chapter provides a review of the basic ideas at the core of the Computational Singular
Perturbation (CSP) method and the Tangential Stretching Rate (TSR) analysis. It includes a …

Low temperature combustion (LTC) is a potential thermodynamic pathway to maximize the
thermal efficiency of internal combustion (IC) engines. However, high exergy loss is also …