Results 81 to 90 of about 2,047 (170)

The scoping, design, and plasma physics optimization of the Eos neutron source stellarator

Nuclear Fusion
On the path to a fusion pilot plant, Thea Energy plans to build Eos, a sub-breakeven, deuterium-deuterium, beam-target fusion, stellarator neutron source facility for producing tritium and other valuable radioisotopes.
C.P.S. Swanson, D.A. Gates, S.T.A. Kumar, M.F. Martin, T.G. Kruger, D.W. Dudt, P.J. Bonofiglo, the Thea Energy team   +7 more
doaj   +1 more source

Forced flow cryogenic cooling in fusion devices: A review. [PDF]

Heliyon, 2021
Vaghela H, Lakhera VJ, Sarkar B.
europepmc   +1 more source

FOCUS-HTS: a new stellarator coil design code for three-dimensional high-temperature superconducting magnets

Nuclear Fusion
Stellarators mainly utilize magnetic fields from external coils to confine the plasma, enabling steady-state operation while avoiding instabilities like disruptions raised from plasma currents.
Xianyi Nie, Jianlin Peng, Yidong Xie, Guodong Yu, Ke Liu, Caoxiang Zhu   +5 more
doaj   +1 more source

Quasi-single-stage optimization for permanent magnet stellarators

Nuclear Fusion
Advanced stellarators are typically optimized in two stages. The plasma equilibrium is optimized first, followed by the design of coils/permanent magnets.
Guodong Yu, Ke Liu, Tianyi Qian, Yidong Xie, Xianyi Nie, Caoxiang Zhu   +5 more
doaj   +1 more source

Data-driven approach to model the influence of magnetic geometry in the confinement of fusion devices

Nuclear Fusion
Designing a fusion energy device to produce as much energy as possible requires balancing numerous physics constraints and metrics. In stellarators, the geometry is very flexible and involves a large number of free parameters.
R. Laia, R. Jorge, G. Abreu
doaj   +1 more source

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

Machine 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, Qian Gong, Sandeep Madireddy, Christopher Hansen, Semin Joung, David R Smith, Yixuan Sun, Fatima Ebrahimi, Prasanna Balapraksh, Andrew Oakleigh Nelson   +9 more
doaj   +1 more source

Fast ion confinement in quasi-axisymmetric stellarator equilibria

Nuclear Fusion
This report presents an initial analysis of the fast ion confinement and losses within quasi-axisymmetric stellarator equilibria in consideration by Thea Energy.
P.J. Bonofiglo, D.W. Dudt, C.P.S. Swanson   +2 more
doaj   +1 more source

Recent progress in Chinese fusion research based on superconducting tokamak configuration. [PDF]

Innovation (Camb), 2022
Zheng J, Qin J, Lu K, Xu M, Duan X, Xu G, Hu J, Gong X, Zang Q, Liu Z, Wang L, Ding R, Chen J, Li P, Xue L, Cai L, Song Y.   +16 more
europepmc   +1 more source

Innovative approaches towards an economic fusion reactor. [PDF]

Natl Sci Rev, 2020
Guo H, Thio FYC, Binderbauer MW, Buttery RJ, Jarboe TR, Maingi R, Sarff JS, Stangeby PC, Sutherland DA, Wade MR, Zarnstorff MC.   +10 more
europepmc   +1 more source

Application of Laser-Induced Breakdown Spectroscopy for Depth Profiling of Multilayer and Graded Materials. [PDF]

Materials (Basel), 2023
Królicka A, Maj A, Łój G.
europepmc   +1 more source