A Neural Network-Inspired Matrix Formulation of Chemical Kinetics for Acceleration on GPUs

High-fidelity simulations of turbulent flames are computationally expensive when using detailed chemical kinetics. For practical fuels and flow configurations, chemical kinetics can account for the vast majority of the computational time due to the highly non-linear nature of multi-step chemistry me...

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Bibliographic Details
Published in:	Energies
Main Authors:	Shivam Barwey, Venkat Raman
Format:	Article
Language:	English
Published:	MDPI AG 2021-05-01
Subjects:	graphics processing units high-performance computing chemical kinetics multi-physics simulation neural networks turbulent combustion
Online Access:	https://www.mdpi.com/1996-1073/14/9/2710

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