Kinetics parameter optimization of hydrocarbon fuels via neural ordinary differential equations
Chemical kinetics mechanisms are essential for understanding, analyzing, and simulating complex combustion phenomena. In this study, a neural ordinary differential equation (Neural ODE) framework is employed to optimize the kinetics parameters of reaction mechanisms. Given experimental or high-cost...
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier BV
2024
|
| Online Access: | https://hdl.handle.net/1721.1/156212 |