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Jeremy Templeton
Jeremy Templeton
Bluespace.ai
在 bluespace.ai 的电子邮件经过验证
标题
引用次数
引用次数
年份
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
15332016
Machine learning strategies for systems with invariance properties
J Ling, R Jones, J Templeton
Journal of Computational Physics 318, 22-35, 2016
4172016
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
3902015
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
1912008
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
1742005
Predicting the mechanical response of oligocrystals with deep learning
AL Frankel, RE Jones, C Alleman, JA Templeton
Computational Materials Science 169, 109099, 2019
1042019
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
972010
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
882012
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
792008
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
542005
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
422008
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
422006
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
402018
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
322010
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
232013
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
232011
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
202017
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
192014
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
192010
Optimal compressed sensing and reconstruction of unstructured mesh datasets
M Salloum, ND Fabian, DM Hensinger, J Lee, EM Allendorf, ...
Data Science and Engineering 3, 1-23, 2018
162018
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