Jeremy A. Templeton, Ph.D.
Affiliations: | 2006 | Stanford University, Palo Alto, CA | |
| 1999- | Sandia National Laboratories |
Area:
Mechanical EngineeringGoogle:
"Jeremy A. Templeton"Bio:
Parents
Sign in to add mentor| Parviz Moin | grad student | 2006 | Stanford | |
| (Wall models for large -eddy simulation based on optimal control theory.) | ||||
Children
Sign in to add trainee| Jonathan W. Lee | post-doc | 2011-2013 | Sandia National Laboratories (Chemistry Tree) |
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Publications
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| Frankel AL, Jones RE, Alleman C, et al. (2019) Predicting the mechanical response of oligocrystals with deep learning Computational Materials Science. 169: 109099 |
| Rizzi F, Khalil M, Jones R, et al. (2019) Bayesian modeling of inconsistent plastic response due to material variability Computer Methods in Applied Mechanics and Engineering. 353: 183-200 |
| Safta C, Blaylock M, Templeton J, et al. (2017) Uncertainty quantification in LES of channel flow International Journal For Numerical Methods in Fluids. 83: 376-401 |
| Ling J, Jones R, Templeton J. (2016) Machine learning strategies for systems with invariance properties Journal of Computational Physics. 318: 22-35 |
| Lee JW, Mani A, Templeton JA. (2015) Atomistic and Molecular Effects in Electric Double Layers at High Surface Charges. Langmuir : the Acs Journal of Surfaces and Colloids. 31: 7496-502 |
| Scott SN, Templeton JA, Hough PD, et al. (2015) Statistical Validation For Heat Transfer Problems: A Case Study The International Journal of Computational Methods and Experimental Measurements. 3: 101-120 |
| Lee JW, Meade AJ, Barrera EV, et al. (2015) Thermal transport mechanisms in carbon nanotube-nanofluids identified from molecular dynamics simulations Journal of Heat Transfer. 137 |
| Templeton J. (2015) Evaluation of machine learning algorithms for prediction of regions of high Reynolds averaged Navier Stokes uncertainty Physics of Fluids. 27: 85103 |
| Jones RE, Ward DK, Templeton JA. (2014) Spatial resolution of the electrical conductance of ionic fluids using a Green-Kubo method. The Journal of Chemical Physics. 141: 184110 |
| Salloum M, Templeton J. (2014) Inference and uncertainty propagation of atomistically informed continuum constitutive laws, part 2: Generalized continuum models based on Gaussian processes International Journal For Uncertainty Quantification. 4: 171-184 |