Abstract Machine learning provides a set of new tools for the analysis, reduction and
acceleration of combustion chemistry. The implementation of such tools is not new …

Increases in both chemical kinetics knowledge and the capacity of computers have led to the
availability of very large detailed kinetic mechanisms for many problems. These …

The aim of the thesis work is the further development of practical engine simulation tools
based on Stochastic Reactor Models, SRMs. Novel and efficient implementations were …

Adaptive chemistry is based on the principle that instead of having one comprehensive
model describing the entire range of chemical source term space (typically parameters …

View Video Presentation: https://doi. org/10.2514/6.2021-0928. vid Artificial intelligence (AI)
and more specific subsets of AI such as machine learning (ML) and deep learning (DL) have …

A clear and relatively simple algorithm for generating a unique (canonical) form of the
reaction mechanism is presented based on symbolic algebra and SMILES (Simplified …

Different data-based hybrid chemistry models are developed to accelerate complex fuels
chemistry at high-temperature combustion (HTO) and demonstrated on three different fuels …

By dividing the combustion process into several phases with phase optimized skeletal
mechanisms (POSM), gains in calculation speed were realized with virtually no loss in …

Hot surface ignition is a safety design concern for serval industries including mining,
aviation, automotive, boilers, and maritime applications. Bleed air ducts, exhaust pipes …

A set of ignition curves where the time is normalized to be at the point of ignition. The first
curve is time versus temperature with 5 different starting temperatures from 1200 to 1300 …