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20232026
most citedA comprehensive study on the accuracy and generalization of deep learning-generated chemical ODE integrators

3 citations · 3 across the 5 of their papers we have counts for

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physics.comp-ph2026

Thermochemically Constrained Multiscale Laplace Neural Operator to Learn Stiff Chemical Kinetics with Conditional Diffusion Model Sampling

Dong Yang, Xiongbo Duan, Min Zhang +1

Stiff chemical kinetics is a major computational bottleneck in reacting-flow simulations, while data-driven solvers remain sensitive to training-state coverage and chemical dynamic…