activity
20222026
most citedReconnection-Driven Energy Cascade in Magnetohydrodynamic Turbulence

87 citations · 162 across the 9 of their papers we have counts for

collaborators

9 papers

physics.plasm-ph2026

Plasma Flow Generation and Particle Acceleration from Expanding Magnetic Bubbles

Yang Zhang, Brandon K. Russell, Geoffrey Pomraning +9

Impulsive plasma dynamics in the laboratory are often driven by rising electric currents, yet their quantitative plasma response has not been well established. By means of fully ki…

physics.space-ph2026

Automated Classification of Plasma Regions at Mars Using Machine Learning

Yilan Qin, Chuanfei Dong, Hongyang Zhou +6

The plasma environment around Mars is highly variable because it is strongly influenced by the solar wind. Accurate identification of plasma regions around Mars is important for th…

physics.plasm-ph2025★ 16 cited

Machine-learning heat flux closure for multi-moment fluid modeling of nonlinear Landau damping

Ziyu Huang, Chuanfei Dong, Liang Wang

Nonlinear plasma physics problems are usually simulated through comprehensive modeling of phase space. The extreme computational cost of such simulations has motivated the developm…

physics.plasm-ph2023

Data-Driven Modeling of Landau Damping by Fourier Neural Operator

Shichen Wei, Yuhong Liu, Haiyang Fu +2

The development of machine learning techniques enables us to construct surrogate models from data of direct numerical simulations, which has important implications for modeling com…

physics.plasm-ph2023★ 11 cited

Numerical Study of Magnetic Island Coalescence Using Magnetohydrodynamics With Adaptively Embedded Particle-In-Cell Model

Dion Li, Yuxi Chen, Chuanfei Dong +2

Collisionless magnetic reconnection typically requires kinetic treatments that are, in general, computationally expensive compared to fluid-based models. In this study, we use the…

physics.plasm-ph2022★ 20 cited

Data-driven modeling of Landau damping by physics-informed neural networks

Yilan Qin, Jiayu Ma, Mingle Jiang +5

Kinetic approaches are generally accurate in dealing with microscale plasma physics problems but are computationally expensive for large-scale or multiscale systems. One of the lon…

astro-ph.SR2022★ 87 cited

Reconnection-Driven Energy Cascade in Magnetohydrodynamic Turbulence

Chuanfei Dong, Liang Wang, Yi-Min Huang +3

Magnetohydrodynamic turbulence regulates the transfer of energy from large to small scales in many astrophysical systems, including the solar atmosphere. We perform three-dimension…

physics.plasm-ph2022★ 21 cited

Data-driven, multi-moment fluid modeling of Landau damping

Wenjie Cheng, Haiyang Fu, Liang Wang +6

Deriving governing equations of complex physical systems based on first principles can be quite challenging when there are certain unknown terms and hidden physical mechanisms in t…

physics.plasm-ph2022★ 7 cited

Discovery of double Hall pattern associated with collisionless magnetic reconnection in dusty plasmas

Shu-Di Yang, Liang Wang, Chuanfei Dong

Magnetic reconnection is prevalent in magnetized plasmas in space and laboratories. Despite significant investigations on reconnection in electron-ion plasmas, studies of reconnect…