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

3 citations · 5 across the 9 of their papers we have counts for

collaborators
Showing 2025Show all

2 papers · 1 filter

cs.LG2025

Benchmarking neural surrogates on realistic spatiotemporal multiphysics flows

Runze Mao, Rui Zhang, Xuan Bai +21

Predicting multiphysics dynamics is computationally expensive and challenging due to the severe coupling of multi-scale, heterogeneous physical processes. While neural surrogates p…

physics.flu-dyn2025★ 1 cited

Enhancing deep learning of ammonia/natural gas combustion kinetics via physics-aware data augmentation and scale separation

Ke Xiao, Yangchen Xu, Han Li +1

Accurate and efficient numerical simulation of ammonia combustion is critical for advancing ammonia-based energy systems, where turbulent flame dynamics and pollutant formation str…