40 citations · 41 across the 2 of their papers we have counts for
2 papers
physics.plasm-ph2026★ 1 cited
DustNET: enabling machine learning and AI models of dusty plasmas
Zhehui Wang, Justin C. Burton, Niklas Dormagen +30
Dusty plasmas are ubiquitous throughout the universe, spanning laboratory and industrial plasmas, fusion devices, planetary environments, cometary comae, and interstellar media. De…
physics.plasm-ph2023★ 40 cited
Revealing the supercritical dynamics of dusty plasmas and their liquid-like to gas-like dynamical crossover
Dong Huang, Matteo Baggioli, Shaoyu Lu +2
Dusty plasmas represent a powerful playground to study the collective dynamics of strongly coupled systems with important interdisciplinary connections to condensed matter physics.…