Jeremy Templeton

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Reese E. JonesSandia National LaboratoriesAdresse e-mail validée de sandia.gov
Jonathan W LeePostdoctoral Appointee, Sandia National LaboratoriesAdresse e-mail validée de sandia.gov
Greg WagnerNorthwestern UniversityAdresse e-mail validée de northwestern.edu
Andrew KurzawskiGraduate Student, University of Texas at AustinAdresse e-mail validée de utexas.edu
Bryan M. WongUniversity of California, RiversideAdresse e-mail validée de alum.mit.edu
Cindy HarnettProfessor of Electrical and Computer Engineering, University of LouisvilleAdresse e-mail validée de louisville.edu
Maher SalloumPrincipal Member of Technical StaffAdresse e-mail validée de sandia.gov
Myra BlaylockSandia National LaboratoriesAdresse e-mail validée de sandia.gov
Cosmin SaftaSandia National LabsAdresse e-mail validée de sandia.gov
Michael L. ParksOak Ridge National LaboratoryAdresse e-mail validée de ornl.gov
Ian M. MitchellDepartment of Computer Science, The University of British ColumbiaAdresse e-mail validée de cs.ubc.ca
Habib NajmSandia National LaboratoriesAdresse e-mail validée de sandia.gov
Kranthi K. MandadapuUniversity of California, BerkeleyAdresse e-mail validée de berkeley.edu
Paul G. ConstantineAssistant Professor of Computer Science, University of Colorado BoulderAdresse e-mail validée de colorado.edu
David GleichPurdue UniversityAdresse e-mail validée de purdue.edu
Ali ManiAssociate Professor of Mechanical Engineering, Stanford UniversityAdresse e-mail validée de stanford.edu
John HewsonSandia National LaboratoriesAdresse e-mail validée de sandia.gov
Forrest S GittlesonSamsung SDI Research AmericaAdresse e-mail validée de samsung.com
Howard ElmanProfessor of Computer Science, University of MarylandAdresse e-mail validée de umd.edu
nazareth bedrossianStealth Startup, CTOAdresse e-mail validée de alum.mit.edu

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Jeremy Templeton

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Autonomous Vehicles Computational science numerical methods applied mathematics mechanical engineering


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
Reynolds averaged turbulence modelling using deep neural networks with embedded invariance J Ling, A Kurzawski, J Templeton Journal of Fluid Mechanics 807, 155-166, 2016	1731	2016
Machine learning strategies for systems with invariance properties J Ling, R Jones, J Templeton Journal of Computational Physics 318, 22-35, 2016	445	2016
Evaluation of machine learning algorithms for prediction of regions of high Reynolds averaged Navier Stokes uncertainty J Ling, J Templeton Physics of Fluids 27 (8), 2015	433	2015
Model based design of a microfluidic mixer driven by induced charge electroosmosis CK Harnett, J Templeton, KA Dunphy-Guzman, YM Senousy, MP Kanouff Lab on a Chip 8 (4), 565-572, 2008	192	2008
A toolbox of Hamilton-Jacobi solvers for analysis of nondeterministic continuous and hybrid systems IM Mitchell, JA Templeton International workshop on hybrid systems: computation and control, 480-494, 2005	180	2005
Predicting the mechanical response of oligocrystals with deep learning AL Frankel, RE Jones, C Alleman, JA Templeton Computational Materials Science 169, 109099, 2019	115	2019
A material frame approach for evaluating continuum variables in atomistic simulations JA Zimmerman, RE Jones, JA Templeton Journal of Computational Physics 229 (6), 2364-2389, 2010	97	2010
Comparison of molecular dynamics with classical density functional and poisson–boltzmann theories of the electric double layer in nanochannels JW Lee, RH Nilson, JA Templeton, SK Griffiths, A Kung, BM Wong Journal of chemical theory and computation 8 (6), 2012-2022, 2012	91	2012
An atomistic-to-continuum coupling method for heat transfer in solids GJ Wagner, RE Jones, JA Templeton, ML Parks Computer Methods in Applied Mechanics and Engineering 197 (41-42), 3351-3365, 2008	83	2008
An eddy-viscosity based near-wall treatment for coarse grid large-eddy simulation JA Templeton, G Medic, G Kalitzin Physics of fluids 17 (10), 2005	57	2005
Machine learning models of plastic flow based on representation theory RE Jones, JA Templeton, CM Sanders, JT Ostien Computer Modeling in Engineering & Sciences 117 (3), 309-342, 2018	45	2018
A predictive wall model for large-eddy simulation based on optimal control techniques JA Templeton, M Wang, P Moin Physics of Fluids 20 (6), 2008	44	2008
An efficient wall model for large-eddy simulation based on optimal control theory JA Templeton, M Wang, P Moin Physics of Fluids 18 (2), 2006	43	2006
Electron transport enhanced molecular dynamics for metals and semi‐metals RE Jones, JA Templeton, GJ Wagner, D Olmsted, NA Modine International Journal for Numerical Methods in Engineering 83 (8‐9), 940-967, 2010	34	2010
A long-range electric field solver for molecular dynamics based on atomistic-to-continuum modeling JA Templeton, RE Jones, JW Lee, JA Zimmerman, BM Wong Journal of Chemical Theory and Computation 7 (6), 1736-1749, 2011	24	2011
Comparison of molecular and primitive solvent models for electrical double layers in nanochannels JW Lee, JA Templeton, KK Mandadapu, JA Zimmerman Journal of chemical theory and computation 9 (7), 3051-3061, 2013	23	2013
Application of a field-based method to spatially varying thermal transport problems in molecular dynamics JA Templeton, RE Jones, GJ Wagner Modelling and Simulation in Materials Science and Engineering 18 (8), 085007, 2010	21	2010
Uncertainty quantification in LES of channel flow C Safta, M Blaylock, J Templeton, S Domino, K Sargsyan, H Najm International Journal for Numerical Methods in Fluids 83 (4), 376-401, 2017	20	2017
Model reduction with MapReduce-enabled tall and skinny singular value decomposition PG Constantine, DF Gleich, Y Hou, J Templeton SIAM Journal on Scientific Computing 36 (5), S166-S191, 2014	19	2014
A formulation for near-wall RANS/LES coupling G Medic, JA Templeton, G Kalitzin International journal of engineering science 44 (17), 1099-1112, 2006	18	2006

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