2 papers
physics.flu-dyn2026
A convolutional autoencoder and neural ODE surrogate modeling framework applied to transient counterflow flames
Mert Yakup Baykan, Weitao Liu, Mohammad Rafi Malik +4
A novel convolutional autoencoder and neural ODE (CAE-NODE) framework is proposed for a reduced-order model (ROM) applied to transient 2D counterflow flames, as an extension of AE-…
physics.comp-ph2025
Accelerated Integration of Stiff Reactive Systems Using Gradient-Informed Autoencoder and Neural Ordinary Differential Equation
Mert Yakup Baykan, Vijayamanikandan Vijayarangan, Dong-hyuk Shin +1
A combined autoencoder (AE) and neural ordinary differential equation (NODE) framework has been used as a data-driven reduced-order model for time integration of a stiff reacting s…