Zobrazeno 1 - 10
of 29
pro vyhledávání: '"Casson, Francis"'
Autor:
Hornsby, William, Gray, Ander, Buchanan, James, Kenndy, Daniel, Patel, Bhavin, Casson, Francis, Roach, Colin, Lykkegaard, Mikkel, Nguyen, Huy, Papadimas, Nikolaos, Fourcin, Ben, Hart, Jordan
Spherical tokamaks (STs) have many desirable features that make them a suitable choice for fusion power plants. To understand their confinement properties, accurate calculation of turbulent micro-instabilities is necessary for tokamak design. Present
Externí odkaz:
http://arxiv.org/abs/2403.13006
Autor:
Brown, Theodore, Marsden, Stephen, Gopakumar, Vignesh, Terenin, Alexander, Ge, Hong, Casson, Francis
Publikováno v:
IEEE Transactions on Plasma Science (2024)
The safety factor profile is a key property in determining the stability of tokamak plasmas. To design the safety factor profile in the United Kingdom's proposed Spherical Tokamak for Energy Production (STEP), we apply multi-objective Bayesian optimi
Externí odkaz:
http://arxiv.org/abs/2310.02669
Autor:
Hornsby, William, Gray, Ander, Buchanan, James, Patel, Bhavin, Kennedy, Daniel, Casson, Francis, Roach, Colin, Lykkegaard, Mikkel, Nguyen, Huy, Papadimas, Nikolaos, Fourcin, Ben, Hart, Jordan
Spherical tokamaks (STs) have many desirable features that make them an attractive choice for a future fusion power plant. Power plant viability is intrinsically related to plasma heat and particle confinement and this is often determined by the leve
Externí odkaz:
http://arxiv.org/abs/2309.09785
Autor:
Kennedy, Daniel, Giacomin, Maurizio, Casson, Francis J, Dickinson, David, Hornsby, William A, Patel, Bhavin S, Roach, Colin M
Publikováno v:
Nucl. Fusion 63 126061 (2023)
We present herein the results of a linear gyrokinetic analysis of electromagnetic microinstabilites in the conceptual high-$\beta$, reactor-scale, tight-aspect-ratio tokamak STEP (Spherical Tokamak for Energy Production, https://step.ukaea.uk). We ex
Externí odkaz:
http://arxiv.org/abs/2307.01670
Autor:
Giacomin, Maurizio, Kennedy, Daniel, Casson, Francis J, J., Ajay C., Dickinson, David, Patel, Bhavin S., Roach, Colin M.
Publikováno v:
Plasma Phys. Control. Fusion 2024
In this work, we present first-of-their-kind nonlinear local gyrokinetic simulations of electromagnetic turbulence at mid-radius in the burning plasma phase of the conceptual high-$\beta$, reactor-scale, tight-aspect-ratio tokamak STEP (Spherical Tok
Externí odkaz:
http://arxiv.org/abs/2307.01669
Autor:
Muldrew, Stuart I., Harrington, Chris, Keep, Jonathan, Waldon, Chris, Ashe, Christopher, Chapman, Rhian, Griesel, Charles, Pearce, Alexander J., Casson, Francis, Marsden, Stephen P., Tholerus, Emmi
Publikováno v:
In Fusion Engineering and Design April 2024 201
Autor:
Ho, Aaron, Citrin, Jonathan, Auriemma, Fulvio, Bourdelle, Clarisse, Casson, Francis J., Kim, Hyun-Tae, Manas, Pierre, Szepesi, Gabor, Weisen, Henri, Contributors, JET
Publikováno v:
Nucl. Fusion 59 056007 (2019)
This paper outlines an approach towards improved rigour in tokamak turbulence transport model validation within integrated modelling. Gaussian process regression (GPR) techniques were applied for profile fitting during the preparation of integrated m
Externí odkaz:
http://arxiv.org/abs/2105.01177
Autor:
Ho, Aaron, Citrin, Jonathan, Bourdelle, Clarisse, Camenen, Yann, Casson, Francis J., van de Plassche, Karel L., Weisen, Henri, Contributors, JET
Publikováno v:
Physics of Plasmas 28, 032305 (2021)
Within integrated tokamak plasma modelling, turbulent transport codes are typically the computational bottleneck limiting their routine use outside of post-discharge analysis. Neural network (NN) surrogates have been used to accelerate these calculat
Externí odkaz:
http://arxiv.org/abs/2105.01168
Autor:
van de Plassche, Karel Lucas, Citrin, Jonathan, Bourdelle, Clarisse, Camenen, Yann, Casson, Francis J., Dagnelie, Victor I., Felici, Federico, Ho, Aaron, Van Mulders, Simon, Contributors, JET
We present an ultrafast neural network (NN) model, QLKNN, which predicts core tokamak transport heat and particle fluxes. QLKNN is a surrogate model based on a database of 300 million flux calculations of the quasilinear gyrokinetic transport model Q
Externí odkaz:
http://arxiv.org/abs/1911.05617
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