Accelerating Chemical Kinetics for Exoplanet Atmospheres using Neural Networks
The machine learning framework presented here is a flexible and efficient approach to emulating state-to-state flow-map problems that commonly arise in numerical simulations, and outperforms several commonly used machine learning architectures and performs robustly under the extreme stiffness characteristic of atmosphe...
Isaac Malsky, Xi Zhang, Tiffany Kataria et al.
· 0 citations