Neural Network Emulator for Atmospheric Chemical ODE
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Abstract (arXiv)
Modeling atmospheric chemistry is complex and computationally intense. Given the recent success of Deep neural networks in digital signal processing, we propose a Neural Network Emulator for fast chemical concentration modeling. We consider atmospheric chemistry as a time-dependent Ordinary Differential Equation. To extract the hidden correlations between initial states and future time evolution, we propose ChemNNE, an Attention based Neural Network Emulator (NNE) that can model the atmospheric chemistry as a neural ODE process. To efficiently simulate the chemical changes, we propose the sinusoidal time embedding to estimate the oscillating tendency over time. More importantly, we use the Fourier neural operator to model the ODE process for efficient computation. We also propose three physical-informed losses to supervise the training optimization. To evaluate our model, we propose a large-scale chemical dataset that can be used for neural network training and evaluation. The extensive experiments show that our approach achieves state-of-the-art performance in modeling accuracy and computational speed.
Key facts. Cited by 5 papers in the map (data through 7 Oct 2026). Builds on 28 of its 63 references that are in the map. First posted on arXiv 3 Aug 2024.
Builds on
28 of 63 references.
References · 28
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Built on by
Citing papers per year: 2025: 1; 2026: 4.
5 papers.
- 2025SPIN-ODE: Stiff Physics-Informed Neural ODE for Chemical Reaction Rate Estimationcited by 3
- 2026TopoFlow: Topography-aware Pollutant Flow Learning for High-Resolution Air Quality Predictioncited by 1
- 2026Inverse Neural Operator for ODE Parameter Optimizationcited by 1
- 2026MCMC Informed Neural Emulators for Uncertainty Quantification in Dynamical Systemscited by 0
- 2026Cross-Resolution Attention Network for High-Resolution PM2.5 Predictioncited by 0
- 2026Inverse Neural Operator for ODE Parameter Optimization12 Mar 2026
- 2026Cross-Resolution Attention Network for High-Resolution PM2.5 Prediction12 Mar 2026
- 2026MCMC Informed Neural Emulators for Uncertainty Quantification in Dynamical Systems11 Mar 2026
- 2026TopoFlow: Topography-aware Pollutant Flow Learning for High-Resolution Air Quality Prediction18 Feb 2026
- 2025SPIN-ODE: Stiff Physics-Informed Neural ODE for Chemical Reaction Rate Estimation8 May 2025