output
20142026
most citedA Unified Numerically Solvable Framework for Complicated Kinetic Plasma Dispersion Relations

111 citations

36 papers

cs.LG2026★ 6 cited

A panoramic aerodynamic performance prediction method for turbomachinery cascades using transformer-enhanced neural operator

Qineng Wang, Zhendong Guo, Liming Song +1

To enable flexible and rapid aerodynamic performance evaluation in turbomachinery design, this paper proposes a panoramic performance prediction framework. Unlike most previous pre…

cs.LG2026★ 6 cited

Enhancing generalization in endwall film cooling prediction: Incorporating the superposition principle into transformer-based neural operators

Qineng Wang, Liming Song, Tianyuan Liu +1

In this study, a physics-enhanced neural operator framework is proposed to enhance the generalization prediction ability of the cooling layout of a turbine endwall with variable nu…

physics.plasm-ph2026

Development of a Reduced Multi-Fluid Equilibrium Model and Its Application to Proton-Boron Spherical Tokamaks

Huasheng Xie, Xingyu Li, Jiaqi Dong +8

Proton-Boron fusion requires extreme ion temperatures and robust confinement, making Spherical Tokamaks (ST) with high-power neutral beam injection primary candidates. In these dev…

physics.plasm-ph2026

What Is the Minimum Number of Parameters Required to Represent Solutions of the Grad-Shafranov Equation?

Huasheng Xie, Yueyan Li

Fast and accurate solutions of the Grad--Shafranov (GS) equation are essential for equilibrium analysis, integrated modeling, and surrogate model construction in magnetic confineme…

physics.plasm-ph2025

A Doppler backscattering diagnostic for the EXL-50U spherical tokamak: plasma considerations and preliminary quasioptical design

Ying Hao Matthew Liang, Valerian Hongjie Hall-Chen, Terry L. Rhodes +2

The EXL-50U spherical tokamak was built by Energy iNNovation to develop technologies for proton-boron fusion in spherical tokamaks (Liu et al., Phys. Plasmas 2024). We present a co…

cs.LG2025★ 6 cited

Semi-Supervised Federated Learning via Dual Contrastive Learning and Soft Labeling for Intelligent Fault Diagnosis

Yajiao Dai, Jun Li, Zhen Mei +5

Intelligent fault diagnosis (IFD) plays a crucial role in ensuring the safe operation of industrial machinery and improving production efficiency. However, traditional supervised d…