Kavli Affiliate: Lile Wang |Summary:In astrophysical simulations, nuclear reacting flows pose computational challenges due to the stiffness of reaction networks. We introduce neural network-based surrogate models using the DeePODE framework to enhance simulation efficiency while maintaining accuracy and robustness. Our method replaces conventional stiff ODE solvers with deep learning models trained through evolutionary Monte Carlo […]
Continue.. Deep Neural Networks for Modeling Astrophysical Nuclear Reacting Flows