The field of nitric oxide (NOx) production combined with turbulent flow is a complex issue of
combustion, especially for the different time scales of reactions and flow in numerical …

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

Abstract Low-fidelity, cost-effective, physics-based models are useful for assessing the
environmental performance of novel combustion systems, especially those utilizing …

Machine learning has had an enormous impact in many scientific disciplines. It has also
attracted significant interest in the field of low-temperature plasma (LTP) modeling and …

In this study, we developed a comprehensive modeling framework for simulation of
ozonation process using combination of artificial intelligence and computational fluid …

Computationally inexpensive reduced order models such as Chemical Reactor Networks
(CRN) are encouraging tools to obtain fast numerical solutions. However, the accuracy of …

Efficient operation of bioreactors is crucial for the success of biomanufacturing processes.
Traditional Computational Fluid Dynamics (CFD) simulations provide detailed insights but …

The present study offers a comparative examination of regression models that are utilized for
the prediction of concentration (C) in a new hybrid ozone-membrane process for removal of …

Hydrogen emerges as a promising fuel for clean and sustainable electricity production when
utilized in microgas turbines (mGTs). However, some challenges linked to hydrogen usage …

Lean blow-out (LBO) is a critical phenomenon in gas turbines. It is enhanced by very to ultra-
lean operating conditions which are considered today to decrease the environmental impact …