This review covers the new developments in machine learning (ML) that are impacting the
multi-disciplinary area of aerospace engineering, including fundamental fluid dynamics …

Large scale models of physical phenomena demand the development of new statistical and
computational tools in order to be effective. Many such models are “sloppy,” ie, exhibit …

The need and prospect of incorporating realistic fuel chemistry in large-scale simulations of
combustion phenomena and combustor performance are reviewed. The review first …

A novel implementation for the skeletal reduction of large detailed reaction mechanisms
using the directed relation graph with error propagation and sensitivity analysis (DRGEPSA) …

When it comes to handling large hydrocarbon molecules and describing the pyrolysis and
combustion behavior of complex mixtures, the potential and limitations of detailed chemistry …

The present frontier of combustion chemistry is the development of predictive reaction
models, namely, chemical kinetics models capable of accurate numerical predictions with …

Computational Optimization of Internal Combustion Engines presents the state of the art of
computational models and optimization methods for internal combustion engine …

Understanding the collective behavior of complex systems from their basic components is a
difficult yet fundamental problem in science. Existing model reduction techniques are either …

A new species reduction method called the Simulation Error Minimization Connectivity
Method (SEM-CM) was developed. According to the SEM-CM algorithm, a mechanism …

A systematic approach was developed to derive non-stiff reduced mechanisms for direct
numerical simulations (DNS) with explicit integration solvers. The stiffness reduction was …