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SPIN-ODE: Stiff Physics-Informed Neural ODE for Chemical Reaction Rate Estimation
Wenqing Peng, Zhi-Song Liu, Michael Boy
Estimating rate coefficients from complex chemical reactions is essential for advancing detailed chemistry. However, the stiffness inherent in real-world atmospheric chemistry syst…
phepy: Visual benchmarks and improvements for out-of-distribution detectors
Felix Krumbiegel, Juniper Tyree, Michael Boy +2
Applying machine learning to increasingly high-dimensional problems with sparse or biased training data increases the risk that a model is used on inputs outside its training domai…
Deep Spatio-Temporal Neural Network for Air Quality Reanalysis
Ammar Kheder, Benjamin Foreback, Lili Wang +2
Air quality prediction is key to mitigating health impacts and guiding decisions, yet existing models tend to focus on temporal trends while overlooking spatial generalization. We…