3 citations · 6 across the 16 of their papers we have counts for
Showing 2025Show all
3 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…
cs.DC2025★ 1 cited
Deep Learning-Enabled Supercritical Flame Simulation at Detailed Chemistry and Real-Fluid Accuracy Towards Trillion-Cell Scale
Zhuoqiang Guo, Runze Mao, Lijun Liu +3
For decades, supercritical flame simulations incorporating detailed chemistry and real-fluid transport have been limited to millions of cells, constraining the resolved spatial and…
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…