8 citations as recorded by crossref.

1. Exact conservation laws for neural network integrators of dynamical systems E. Müller 10.1016/j.jcp.2023.112234
2. An Online‐Learned Neural Network Chemical Solver for Stable Long‐Term Global Simulations of Atmospheric Chemistry M. Kelp et al. 10.1029/2021MS002926
3. Advecting Superspecies: Efficiently Modeling Transport of Organic Aerosol With a Mass‐Conserving Dimensionality Reduction Method P. Sturm et al. 10.1029/2022MS003235
4. A Nudge to the Truth: Atom Conservation as a Hard Constraint in Models of Atmospheric Composition Using a Species-Weighted Correction P. Sturm & S. Silva 10.1021/acsestair.4c00220
5. Interpretable conservation laws as sparse invariants Z. Liu et al. 10.1103/PhysRevE.109.L023301
6. Improving air quality assessment using physics-inspired deep graph learning L. Li et al. 10.1038/s41612-023-00475-3
7. Conservation laws in a neural network architecture: enforcing the atom balance of a Julia-based photochemical model (v0.2.0) P. Sturm & A. Wexler 10.5194/gmd-15-3417-2022
8. Downscaling atmospheric chemistry simulations with physically consistent deep learning A. Geiss et al. 10.5194/gmd-15-6677-2022