1 citations · 1 across the 3 of their papers we have counts for
4 papers
DKEKAN: A single-parameterized KAN surrogate for Drift Kinetic Equation Toward Fast Neoclassical Toroidal Viscosity Torque Modeling in Tokamaks
Jinpeng Huang, Xingting Yan, Mingyu Zhang +5
The neoclassical toroidal viscosity (NTV) torque is a critical driver of toroidal rotation in tokamaks, profoundly influencing plasma stability and performance. Consequently, incor…
A Data-Free, Physics-Informed Surrogate Solver for Drift Kinetic Equation: Enabling Fast Neoclassical Toroidal Viscosity Torque Modeling in Tokamaks
Xingting Yan, Yuetao Meng, Nana Bao +3
Toroidal rotation is crucial for maintaining stable and high performance plasmas in tokamak fusion reactors. Among its driving mechanisms, the neoclassical toroidal viscosity (NTV)…
A Transformer variant for multi-step forecasting of water level and hydrometeorological sensitivity analysis based on explainable artificial intelligence technology
Mingyu Liu, Nana Bao, Xingting Yan +2
Understanding the combined influences of meteorological and hydrological factors on water level and flood events is essential, particularly in today's changing climate environments…
Implementing a new fully stepwise decomposition-based sampling technique for the hybrid water level forecasting model in real-world application
Ziqian Zhang, Nana Bao, Xingting Yan +3
Various time variant non-stationary signals need to be pre-processed properly in hydrological time series forecasting in real world, for example, predictions of water level. Decomp…