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

This study aims to develop a fast prediction method of 3D temperature and chemical species
distributions in pulverized coal boilers for real-time combustion monitoring and optimization …

Computational models have been used in conjunction with field data, such as in
reinforcement concrete corrosion monitoring. It typically involves evaluating the physical …

Detailed chemistry-based computational fluid dynamics (CFD) simulations are
computationally expensive due to the solution of the underlying chemical kinetics system of …

Simulation of dense gas–solid flow in fluidized beds is a computationally intensive
procedure, and emerging speedup simulation methods are still unsatisfactory. This work …

We highlight the critical role of data in developing sustainable combustion technologies for
industries requiring high-density and localized energy sources. Combustion systems are …

The compaction quality of rockfill materials plays a pivotal role in ensuring the stability and
durability of runway structures. However, traditional assessment methods relying on limited …

In recent years, the pebble bed module has garnered increased attention due to its inherent
safety and versatile applications, particularly in the form of High-Temperature Gas-Cooled …

A set of global metamodeling uncertainty quantification (UQ) techniques belonging to non-
intrusive and forward propagation categories; Polynomial Chaos Expansion (PCE), Kriging …

Surrogate models of turbulent diffusive flames could play a strategic role in the design of
liquid rocket engine combustion chambers. The present article introduces a method to …