35 citations
- Central South UniversityCN2 papers
- Tsinghua UniversityCN2 papers
- Beijing Forestry UniversityCN1 paper
- Chinese Academy of SciencesCN1 paper
- Institute of Atmospheric PhysicsCN1 paper
- Institute of Geographic Sciences and Natural Resources ResearchCN1 paper
- Johns Hopkins UniversityUS1 paper
- Macao Polytechnic UniversityMO1 paper
- Macau University of Science and TechnologyMO1 paper
- Pacific Northwest National LaboratoryUS1 paper
- Pennsylvania State UniversityUS1 paper
- Scripps Institution of OceanographyUS1 paper
4 papers
Physics-Informed Stochastic Configuration Machine: A Backpropagation-Free Neural Network with Fast Training for Nonlinear Differential Equations
Yuehao Song, Zhong Chen, Lihui Cen +2
While Physics-Informed Neural Networks (PINNs) have emerged as a transformative paradigm for solving complex differential equations, their reliance on backpropagation-based gradien…
Taylor$\unicode{x2013}$Aris dispersion of active particles in oscillatory channel flow
Bohan Wang, Weiquan Jiang, Li Zeng +2
Mass dispersion in oscillatory flows is intimately linked to various environmental and biological processes, offering a distinct contrast to dispersion in steady flows due to the p…
DRUM: Diffusion-based runoff model for probabilistic flood forecasting
Zhigang Ou, Congyi Nai, Baoxiang Pan +7
Extreme floods pose escalating risks in a changing climate, yet forecasting remains challenging due to peak flow underestimation and high uncertainty. We introduce DRUM, a diffusio…
Enable High-resolution, Real-time Ensemble Simulation and Data Assimilation of Flood Inundation using Distributed GPU Parallelization
Junyu Wei, Xiangyu Luo, Weihong Liao +4
Numerical modeling of the intensity and evolution of flood events are affected by multiple sources of uncertainty such as precipitation and land surface conditions. To quantify and…