5 papers
Linear-Stability-Guided Two-Stage Surrogate Model for Nonlinear ITG-TEM Turbulence
Y. W. Cho, C. G. Wan, Z. S. Qu +7
We develop a two-stage surrogate model framework to predict the linear and nonlinear properties of ITG-TEM turbulence from GENE gyrokinetic simulations. The first stage uses a hier…
Stereo-Planner: Learning Stereo-to-Trajectory Planning for Zero-Shot Sim-to-Real Quadrotor Navigation
Hongming Shen, Junjie Lu, Xun Chen +4
Existing navigation systems commonly rely on dedicated depth sensors or explicit depth reconstruction, while learning to generate trajectories directly from RGB images remains chal…
Plasma GraphRAG: Physics-Grounded Parameter Selection for Gyrokinetic Simulations
Ruichen Zhang, Feda AlMuhisen, Chenguang Wan +6
Accurate parameter selection is fundamental to gyrokinetic plasma simulations, yet current practices rely heavily on manual literature reviews, leading to inefficiencies and incons…
Optimal-Transport-Guided Functional Flow Matching for Turbulent Field Generation in Hilbert Space
Li Kunpeng, Wan Chenguang, Qu Zhisong +5
High-fidelity modeling of turbulent flows requires capturing complex spatiotemporal dynamics and multi-scale intermittency, posing a fundamental challenge for traditional knowledge…
Reconstructing High-fidelity Plasma Turbulence with Data-driven Tuning of Diffusion in Low Resolution Grids
Kunpeng Li, Youngwoo Cho, Xavier Garbet +6
Developing physically consistent closure models is a longstanding challenge in simulating plasma turbulence, even in minimal systems such as the two-field Hasegawa-Wakatani (HW) mo…