6 papers
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…
Extracting a stochastic model for predator-prey dynamic of turbulence and zonal flows with limited data
J. C. Huang, Z. S. Qu, R. Varennes +6
Understanding the interaction between turbulence and zonal flows is critical for modeling turbulence transport in fusion plasmas, often described through predator-prey dynamics. Ho…
The interaction of turbulence, magnetic islands and zonal fields in fluid plasma models with cubic non-linearities
Daniele Villa, Nicolas Dubuit, Olivier Agullo +1
It is shown that magnetic islands generated by pressure-gradient-driven turbulence are common across a wide range of conditions. The interaction among turbulence, magnetic island a…
A high-fidelity surrogate model for the ion temperature gradient (ITG) instability using a small expensive simulation dataset
Chenguang Wan, Youngwoo Cho, Zhisong Qu +7
One of the main challenges in building high-fidelity surrogate models of tokamak turbulence is the substantial demand for high-quality data. Typically, producing high-quality data…
Zonal fields as catalysts and inhibitors of turbulence-driven magnetic islands
Daniele Villa, Nicolas Dubuit, Olivier Agullo +1
A novel coalescence process is shown to take place in plasma fluid simulations, leading to the formation of large-scale magnetic islands that become dynamically important in the sy…