A convolutional autoencoder and neural ODE surrogate modeling framework applied to transient counterflow flames
The results demonstrate that the CAE-NODE can accurately capture the entire transient process, including ignition, flame propagation, and the gradual transition to a non-premixed condition, with excellent agreement with the DNS, while adhering to conservation principles at virtually no computational cost compared to th...