Efficient neural network models of chemical kinetics using a latent asinh rate transformation
Felix Döppel, Martin Votsmeier
Abstract
The proposed latent transformation approach allows building lightweight neural networks that accelerate reactor simulations significantly.
Topics & Concepts
Transformation (genetics)Artificial neural networkComputer scienceKineticsLatent variableArtificial intelligenceBiological systemChemistryPhysicsBiologyGeneQuantum mechanicsBiochemistryNuclear reactor physics and engineeringHeat transfer and supercritical fluidsCatalysis and Oxidation Reactions