ChemKANs, a physics-structured KAN-ODE network, infer chemical kinetic models from noisy data and accelerate hydrogen-air combustion chemistry with 344 parameters at 2x speedup.
II A) through a physics-inspired separation between the system’s parameter- 4 ization and the solution coordinate (Fig
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ChemKANs for Combustion Chemistry Modeling and Acceleration
ChemKANs, a physics-structured KAN-ODE network, infer chemical kinetic models from noisy data and accelerate hydrogen-air combustion chemistry with 344 parameters at 2x speedup.