AI reveals unexpected new physics in dusty plasma
Physicists have used a machine-learning method to identify surprising new twists on the non-reciprocal forces governing a many-body system.
Plasma interactions as a research area investigates the fundamental processes governing how plasmas interact with fields, particles, and material boundaries in laboratory, space, and astrophysical environments. It encompasses collisional and collisionless regimes, wave–particle and wave–wave interactions, magnetic reconnection, sheath formation at surfaces, and energy and momentum transfer between charged and neutral species. This field integrates kinetic and fluid (MHD, two-fluid, gyrokinetic) descriptions, advanced diagnostics, and numerical simulations to study phenomena such as turbulence, transport, instabilities, and nonlinear structure formation, with implications for fusion devices, space weather, propulsion, and high-energy-density plasma systems.
Physicists have used a machine-learning method to identify surprising new twists on the non-reciprocal forces governing a many-body system.
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Aug 1, 2025
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