2 papers
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…
cs.LG2025
Understanding the role of autoencoders for stiff dynamical systems using information theory
Vijayamanikandan Vijayarangan, Harshavardhana A. Uranakara, Francisco E. Hernández-Pérez +1
Using the information theory, this study provides insights into how the construction of latent space of autoencoder (AE) using deep neural network (DNN) training finds a smooth low…