Microturbulence-induced magnetic chaos generates electron transport via a specific potential that balances non-ambipolar ion diffusion up to a maximum f_na fraction of gyro-Bohm level, with a minimum beta required to avoid shielding.
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6 Pith papers cite this work. Polarity classification is still indexing.
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physics.plasm-ph 6years
2026 6representative citing papers
FIREFLY offers simplified approximations for divertor heat loads and particle exhaust to speed up design evaluation in magnetic confinement fusion.
JOREK simulations demonstrate that increasing nitrogen seeding moves the X-point radiator upwards in ASDEX Upgrade while decreasing it moves the radiator downwards.
A materials-limited HTS tokamak design achieves net electricity for off-grid uses at 130 MW fusion power with self-consistent high-field plasma parameters and detached divertor operation.
SOLPS-NN is a fully connected neural network surrogate trained on SOLPS-ITER simulations that predicts spatial plasma profiles and indicates access to detachment with experimental trends.
The MPEX AI Digital Twins project reports that its two phase-I AI milestones for hot-spot control and damage assessment are on track for June 2026 demonstration.
citing papers explorer
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Non-Ambipolarity of Microturbulent Transport
Microturbulence-induced magnetic chaos generates electron transport via a specific potential that balances non-ambipolar ion diffusion up to a maximum f_na fraction of gyro-Bohm level, with a minimum beta required to avoid shielding.
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FIREFLY: heat load and particle exhaust approximations for rapid evaluation of divertor designs
FIREFLY offers simplified approximations for divertor heat loads and particle exhaust to speed up design evaluation in magnetic confinement fusion.
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JOREK simulations of the X-point radiator formation and its movement in ASDEX Upgrade
JOREK simulations demonstrate that increasing nitrogen seeding moves the X-point radiator upwards in ASDEX Upgrade while decreasing it moves the radiator downwards.
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Yinsen: A low power density HTS tokamak fusion reactor for marine and off-grid applications
A materials-limited HTS tokamak design achieves net electricity for off-grid uses at 130 MW fusion power with self-consistent high-field plasma parameters and detached divertor operation.
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Deep-Learning based surrogate models for plasma exhaust simulations -- SOLPS-NN
SOLPS-NN is a fully connected neural network surrogate trained on SOLPS-ITER simulations that predicts spatial plasma profiles and indicates access to detachment with experimental trends.
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MPEX AI Digital Twins Milestone Report
The MPEX AI Digital Twins project reports that its two phase-I AI milestones for hot-spot control and damage assessment are on track for June 2026 demonstration.