Results 51 to 60 of about 2,473,114 (224)

Detachment scalings derived from 1D scrape-off-layer simulations

open access: yesNuclear Materials and Energy
Fusion power plants will require detachment to mitigate sputtering and keep divertor heat fluxes at tolerable levels. Controlling detachment on these devices may require the use of real-time scrape-off-layer modeling to complement the limited set of ...
Thomas Body   +6 more
doaj   +1 more source

Impact of liquid metal surface on plasma-surface interaction in experiments with lithium and tin capillary porous systems

open access: yesNuclear Materials and Energy, 2020
The lithium and tin capillary-porous systems (CPSs) were tested with steady-state plasma in the PLM plasma device which is the divertor simulator with plasma parameters relevant to divertor and SOL plasma of tokamaks. The CPS consists of tin/lithium tile
V.P. Budaev   +17 more
doaj   +1 more source

Fusion Energy and Tritium Fuel Cycle: Hydrogen Isotope Separation Technologies and Sorbent Materials

open access: yesSmall Methods, EarlyView.
This review surveys sorbent‐based materials for hydrogen isotope separation, a key challenge in fusion fuel processing. Different types of adsorbents are compared in terms of selectivity, kinetics, and operational practicality. Limitations of cryogenic operation and tritium compatibility are highlighted, providing guidance toward efficient, low tritium
Pankaj Sharma   +2 more
wiley   +1 more source

Automated shot-to-shot optimization of the plasma start-up scenario in the TCV tokamak

open access: yesNuclear Fusion
Plasma start-up is typically achieved manipulating poloidal magnetic fields, gas injection and possibly auxiliary heating. Model-based design techniques have been gaining increasing attention in view of future large tokamaks which have more stringent ...
Luigi Emanuel di Grazia   +15 more
doaj   +1 more source

Replacing Tunable Parameters in Weather and Climate Models With State‐Dependent Functions Using Reinforcement Learning

open access: yesJournal of Advances in Modeling Earth Systems, Volume 18, Issue 8, August 2026.
Abstract Weather and climate models rely on parameterizations to represent unresolved sub‐grid processes. Traditional schemes rely on fixed coefficients that are weakly constrained and tuned offline, contributing to persistent biases that limit their ability to adapt to underlying physics.
Pritthijit Nath   +5 more
wiley   +1 more source

Integrated operation scenarios: Chapter 6 of the special issue: on the path to tokamak burning plasma operation

open access: yesNuclear Fusion
Here we report the progress of the development and optimization of operational scenarios for ITER and beyond, focusing upon baseline, hybrid, and steady-state scenarios since 2007.
Yong-Su Na   +50 more
doaj   +1 more source

Fluctuating Interfaces in Barotropic Beta‐Plane Turbulence

open access: yesGeophysical Research Letters, Volume 53, Issue 9, 16 May 2026.
Abstract Zonal jets manifest themselves as bands with sharp interfaces in the vorticity configuration. We develop an algorithm to track these fluctuating vorticity interfaces and systematically investigate their characteristic spatio‐temporal behaviors.
Sandip Sahoo, Samriddhi Sankar Ray
wiley   +1 more source

Spatiotemporal forecasting of the edge localized modes in tokamak plasmas using neural networks

open access: yesMachine Learning: Science and Technology
Artificial intelligence techniques have been increasingly adopted by the plasma and fusion science to address problems like plasma reconstruction, surrogate modeling, and tokamak/stellarator optimization.
Anirban Samaddar   +9 more
doaj   +1 more source

Auroral Signatures of Ballooning Instability and Plasmoid Formation Processes in the Near‐Earth Magnetotail

open access: yesJournal of Geophysical Research: Space Physics, Volume 131, Issue 4, April 2026.
Abstract The nonlinear development of ballooning instability and the subsequently induced plasmoid formation in the near‐Earth magnetotail demonstrated in MHD simulations has been proposed as a potential trigger mechanism for substorm onset over the past decade, and their connections to the in situ satellite and ground all‐sky auroral optical ...
Ping Zhu   +4 more
wiley   +1 more source

Data readiness pipeline patterns for scientific AI at scale: Insights from climate, fusion, life sciences, and materials

open access: yesAI Magazine, Volume 47, Issue 1, Spring 2026.
Abstract This article examines how data readiness for AI principles apply to large scientific datasets used to train foundation models. We analyze archetypal workflows across four representative domains—climate, nuclear fusion, life sciences, and materials—to identify common preprocessing patterns and domain‐specific constraints.
Wesley Brewer   +6 more
wiley   +1 more source

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