Autonomic Closure for Turbulent Flows Using Approximate Bayesian Computation
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[1] Peter E. Hamlington,et al. Parameter Estimation for a Turbulent Buoyant Jet with Rotating Cylinder Using Approximate Bayesian Computation , 2017 .
[2] David Welch,et al. Approximate Bayesian computation scheme for parameter inference and model selection in dynamical systems , 2009, Journal of The Royal Society Interface.
[3] Gianluca Iaccarino,et al. A Surrogate Accelerated Bayesian Inverse Analysis of the HyShot II Flight Data , 2011 .
[4] F. Sarghini,et al. Neural networks based subgrid scale modeling in large eddy simulations , 2003 .
[5] Peter E. Hamlington,et al. Parameter Estimation for a Turbulent Buoyant Jet using Approximate Bayesian Computation , 2017 .
[6] Sebastian Mosbach,et al. Iterative improvement of Bayesian parameter estimates for an engine model by means of experimental design , 2012 .
[7] Leon O. Chua,et al. Fading memory and the problem of approximating nonlinear operators with volterra series , 1985 .
[8] Yong Huang,et al. Lean blowout limits of a gas turbine combustor operated with aviation fuel and methane , 2016 .
[9] Hans Petter Langtangen,et al. High performance Python for direct numerical simulations of turbulent flows , 2016, Comput. Phys. Commun..
[10] Jean-Michel Marin,et al. Approximate Bayesian computational methods , 2011, Statistics and Computing.
[11] P. Moin,et al. A dynamic subgrid‐scale eddy viscosity model , 1990 .
[12] J. Ferziger,et al. Improved subgrid-scale models for large-eddy simulation , 1980 .
[13] J. Smagorinsky,et al. GENERAL CIRCULATION EXPERIMENTS WITH THE PRIMITIVE EQUATIONS , 1963 .
[14] D. Lilly,et al. A proposed modification of the Germano subgrid‐scale closure method , 1992 .
[15] D. Balding,et al. Approximate Bayesian computation in population genetics. , 2002, Genetics.
[16] Speziale. Comments on the "material frame-indifference" controversy. , 1987, Physical review. A, General physics.
[17] Simone Hochgreb,et al. Flame imaging of gas-turbine relight , 2010 .
[18] J. Vrugt,et al. Toward diagnostic model calibration and evaluation: Approximate Bayesian computation , 2013 .
[19] Paul Marjoram,et al. Markov chain Monte Carlo without likelihoods , 2003, Proceedings of the National Academy of Sciences of the United States of America.
[20] Rob Deardon,et al. Using Individual-Level Models for Infectious Disease Spread to Model Spatio-Temporal Combustion Dynamics , 2012 .
[21] C. Meneveau,et al. Scale-Invariance and Turbulence Models for Large-Eddy Simulation , 2000 .
[22] Jukka Corander,et al. Approximate Bayesian Computation , 2013, PLoS Comput. Biol..
[23] Donald D. Lucas,et al. Impact of meteorological inflow uncertainty on tracer transport and source estimation in urban atmospheres , 2016 .
[24] S. Pope. A more general effective-viscosity hypothesis , 1975, Journal of Fluid Mechanics.
[25] J. Deardorff. A numerical study of three-dimensional turbulent channel flow at large Reynolds numbers , 1970, Journal of Fluid Mechanics.
[26] Mark Kirkpatrick,et al. What Animal Breeding Has Taught Us about Evolution , 2010 .
[27] Karthik Duraisamy,et al. A paradigm for data-driven predictive modeling using field inversion and machine learning , 2016, J. Comput. Phys..
[28] Yi Li,et al. A public turbulence database cluster and applications to study Lagrangian evolution of velocity increments in turbulence , 2008, 0804.1703.
[29] Ryan N King,et al. Autonomic closure for turbulence simulations. , 2016, Physical review. E.
[30] L. Excoffier,et al. Statistical evaluation of alternative models of human evolution , 2007, Proceedings of the National Academy of Sciences.
[31] J. Templeton. Evaluation of machine learning algorithms for prediction of regions of high Reynolds averaged Navier Stokes uncertainty , 2015 .