Recent developments in deep learning have brought many inspirations for the scientific
computing community and it is perceived as a promising method in accelerating the …

PeleLMeX simulates chemically reacting low Mach number flows with block-structured
adaptive mesh refinement (AMR). The code is built upon the AMReX library, which provides …

We describe an update to our open-source Python package, PCAfold, designed to help
researchers generate, analyze and improve low-dimensional data manifolds. In the current …

The flamelet model is a commonly used tool for turbulent combustion simulations in the
engineering field due to its computational efficiency and compatibility with complex chemical …

Combustion and energy conversion play critical roles in all facets of environmental and
technological applications, including the utilization of sustainable energy sources for power …

Data-driven modeling of complex dynamical systems is becoming increasingly popular
across various domains of science and engineering. This is thanks to advances in numerical …

A novel flamelet-based chemical tabulation method is proposed in the present large eddy
simulation study for the Engine Combustion Network Spray A conditions. Using a n …

The goal of this paper is to demonstrate and address challenges related to all aspects of
performing a complete uncertainty quantification (UQ) analysis of a complicated physics …

This chapter describes the use of machine learning (ML) algorithms with the linear-eddy
mixing (LEM) based tabulation for modeling of subgrid turbulencechemistry interaction. The …

There is a critical need for the development of cleaner and more efficient combustion
technologies to limit their detrimental effects on the climate and the environment and reduce …