Self-consistent core-pedestal transport simulations with neural network accelerated models
暂无分享,去创建一个
L. L. Lao | P. B. Snyder | Orso Meneghini | Sterling Smith | E. A. Belli | T. Luda | T. C. Luce | Francesca Poli | Jeff M. Candy | G. M. Staebler | M. Kostuk | J. M. Park | G. Staebler | O. Meneghini | L. Lao | T. Luce | M. Kostuk | F. Poli | E. Belli | J. Candy | T. Luda | P. Snyder | S.P. Smith | J. Park | J.M. Park | Jin Myung Park | Jeff Candy | Sterling Smith | E. Belli | P. B. Snyder | F. Poli
[1] David J. C. MacKay,et al. Information Theory, Inference, and Learning Algorithms , 2004, IEEE Transactions on Information Theory.
[2] A. D. Turnbull,et al. Integrated modeling applications for tokamak experiments with OMFIT , 2015 .
[3] R. E. Waltz,et al. The first transport code simulations using the trapped gyro-Landau-fluid model , 2008 .
[4] T. L. Rhodes,et al. Validation studies of gyrofluid and gyrokinetic predictions of transport and turbulence stiffness using the DIII-D tokamak , 2013 .
[5] L. Lao,et al. Edge localized modes and the pedestal: A model based on coupled peeling–ballooning modes , 2002 .
[6] Samantha S. Foley,et al. Parameter Sweep and Optimization of Loosely Coupled Simulations Using the DAKOTA Toolkit , 2012, 2012 IEEE 15th International Conference on Computational Science and Engineering.
[7] Dennis G. Whyte,et al. Nonlinear gyrokinetic simulations of the I-mode high confinement regime and comparisons with experimenta) , 2015 .
[8] P. B. Snyder,et al. Exploration of the Super H-mode regime on DIII-D and potential advantages for burning plasma devices , 2016 .
[9] R. Waltz,et al. A gyro-Landau-fluid transport model , 1997 .
[10] T. L. Rhodes,et al. Progress in GYRO validation studies of DIII-D H-mode plasmas , 2012 .
[11] H. R. Wilson,et al. A first-principles predictive model of the pedestal height and width: development, testing and ITER optimization with the EPED model , 2011 .
[12] R. E. Waltz,et al. Gyro-Landau fluid equations for trapped and passing particles , 2005 .
[13] J. Greene,et al. Noncircular, finite aspect ratio, local equilibrium model , 1998 .
[14] L. Lao,et al. Variational moment solutions to the Grad–Shafranov equation , 1981 .
[15] Arnold H. Kritz,et al. Physics basis of Multi-Mode anomalous transport module , 2013 .
[16] Anders Krogh,et al. Neural Network Ensembles, Cross Validation, and Active Learning , 1994, NIPS.
[17] C. Bourdelle,et al. Ion temperature profile stiffness: non-linear gyrokinetic simulations and comparison with experiment , 2013, 1303.2217.
[18] R. J. Groebner,et al. Development and validation of a predictive model for the pedestal height , 2008 .
[19] Samantha S. Foley,et al. Multi-level concurrency in a framework for integrated loosely coupled plasma simulations , 2011, 2011 9th IEEE/ACS International Conference on Computer Systems and Applications (AICCSA).
[20] Bernard Widrow,et al. 30 years of adaptive neural networks: perceptron, Madaline, and backpropagation , 1990, Proc. IEEE.
[21] Jeff M. Candy,et al. Multi-scale gyrokinetic simulations: Comparison with experiment and implications for predicting turbulence and transport , 2016 .
[22] L. L. Lao,et al. Integrated fusion simulation with self-consistent core-pedestal coupling , 2016 .
[23] E. A. Belli,et al. Gyrokinetic Eigenmode Analysis of High-Beta Shaped Plasmas , 2010 .
[24] Jeff M. Candy,et al. Tokamak profile prediction using direct gyrokinetic and neoclassical simulation , 2009 .
[25] F. Hinton,et al. Effect of finite aspect ratio on the neoclassical ion thermal conductivity in the banana regime , 1982 .
[26] J. Stober,et al. Transport properties of H-mode plasmas with dominant electron heating in comparison to dominant ion heating at ASDEX Upgrade , 2015 .
[27] H. Wilson,et al. Numerical studies of edge localized instabilities in tokamaks , 2002 .
[28] Arnold H. Kritz,et al. Predicting temperature and density profiles in tokamaks , 1998 .
[29] J. Candy,et al. Kinetic calculation of neoclassical transport including self-consistent electron and impurity dynamics , 2008 .
[30] G. V. Pereverzev,et al. Stable numeric scheme for diffusion equation with a stiff transport , 2008, Comput. Phys. Commun..
[31] W. A. Peebles,et al. L-mode validation studies of gyrokinetic turbulence simulations via multiscale and multifield turbulence measurements on the DIII-D tokamak , 2011 .
[32] J. Kinsey,et al. A theory-based transport model with comprehensive physicsa) , 2006 .
[33] Jeff M. Candy,et al. An Eulerian method for the solution of the multi-species drift-kinetic equation , 2009 .
[34] Samantha S. Foley,et al. The Design and Implementation of the SWIM Integrated Plasma Simulator , 2010, 2010 18th Euromicro Conference on Parallel, Distributed and Network-based Processing.
[35] F. Felici,et al. Real-time capable first principle based modelling of tokamak turbulent transport , 2015, 1502.07402.
[36] L. L. Lao,et al. ELMs and constraints on the H-mode pedestal: peeling–ballooning stability calculation and comparison with experiment , 2004 .
[37] P. B. Snyder,et al. The EPED pedestal model and edge localized mode-suppressed regimes: Studies of quiescent H-mode and development of a model for edge localized mode suppression via resonant magnetic perturbations , 2012 .
[38] D. J. Campbell,et al. Chapter 1: Overview and summary , 1999 .
[39] H. Doerk,et al. Gyrokinetic studies of core turbulence features in ASDEX Upgrade H-mode plasmas , 2015 .
[40] F. Hinton,et al. Theory of plasma transport in toroidal confinement systems , 1976 .
[41] Maxim Umansky,et al. Stability and dynamics of the edge pedestal in the low collisionality regime: physics mechanisms for steady-state ELM-free operation , 2007 .