Publications

Erickson, L., Templeton, J.A., Bachman, W.B., & Bachman, W.B. (2016). A Mesh-free Method to Simulate Solid-to-Liquid Phase Transitions [Conference Poster]. https://www.osti.gov/biblio/1404781

Templeton, J.A., Erickson, L., Bachman, W.B., & Bachman, W.B. (2016). A Mesh-Free Method to Predictively Simulate Solid-to-Liquid Phase Transitions in Abnormal Thermal Environments. https://doi.org/10.2172/1562815

Ling, J., Jones, R.E., Templeton, J.A., & Templeton, J.A. (2016). Machine learning strategies for systems with invariance properties. Journal of Computational Physics, 318(C), pp. 22-35. https://doi.org/10.1016/j.jcp.2016.05.003

Erickson, L., Templeton, J.A., Bachman, W.B., & Bachman, W.B. (2016). An Interpolative Particle Level Set Method [Conference Poster]. https://www.osti.gov/biblio/1373459

Erickson, L., Templeton, J.A., Bachman, W.B., & Bachman, W.B. (2016). An Interpolative Particle Level Set Method [Conference Poster]. https://www.osti.gov/biblio/1373040

Ling, J., Templeton, J.A., & Templeton, J.A. (2016). Machine Learning and Turbulent Flows: Learning from Turbulence Simulation Data Sets [Presentation]. https://www.osti.gov/biblio/1368896

Salloum, M., Fabian, N., Hensinger, D.M., Lee, J., Templeton, J.A., Allendorf, E.M., & Allendorf, E.M. (2016). Compressed Sensing and Reconstruction of Unstructured Mesh Datasets: Optimal Compression [Conference Poster]. https://www.osti.gov/biblio/1368786

Gittleson, F.S., Jones, R.E., Ward, D.K., Foster, M.E., Templeton, J.A., Anstey, M., & Anstey, M. (2016). Modeling Species Diffusion and Electrolyte Interaction in Li-Air Batteries [Conference Poster]. https://www.osti.gov/biblio/1365116

Ling, J., Templeton, J.A., & Templeton, J.A. (2016). Machine Learning for Uncertainty Quantification in Turbulent Flow Simulations [Conference Poster]. https://www.osti.gov/biblio/1338869

Ling, J., Templeton, J.A., & Templeton, J.A. (2015). Machine Learning Models for Detection of Regions of High Model Form Uncertainty in RANS [Conference Poster]. https://www.osti.gov/biblio/1331933

Templeton, J.A., Blaylock, M., Domino, S.P., Hewson, J.C., Kumar, P.R., Ling, J., Najm, H.N., Ruiz, A., Safta, C., Sargsyan, K., Stewart, A., Wagner, G., & Wagner, G. (2015). Calibration and Forward Uncertainty Propagation for Large-eddy Simulations of Engineering Flows. https://doi.org/10.2172/1221181

Templeton, J.A., Bachman, W.B., Erickson, L., & Erickson, L. (2015). Overview of Meshfree Methods [Presentation]. https://www.osti.gov/biblio/1506760

Zimmerman, J.A., Jones, R.E., Templeton, J.A., & Templeton, J.A. (2015). Principles of Coarse-graining and Coupling using the Atom-to-Continuum (AtC) Method. https://www.osti.gov/biblio/1226877

Ling, J., Templeton, J.A., & Templeton, J.A. (2015). Evaluation of machine learning algorithms for prediction of regions of high Reynolds averaged Navier Stokes uncertainty. Physics of Fluids, 27(8). https://doi.org/10.1063/1.4927765

Templeton, J.A., Safta, C., Blaylock, M., Hewson, J., Domino, S., Kumar, P., & Kumar, P. (2015). Calibration and Forward Uncertainty Propagation of Turbulence Models for Coarse-Grid Large-Eddy Simulation [Conference Poster]. https://www.osti.gov/biblio/1339221

Templeton, J.A., Lee, J., Mani, A., & Mani, A. (2015). Atomistic and molecular effects in electric double layers at high surface charges. Langmuir, 31(27), pp. 7496-7502. https://doi.org/10.1021/acs.langmuir.5b00215

Salloum, M., Fabian, N., Hensinger, D.M., Templeton, J.A., & Templeton, J.A. (2015). Compressed Sensing and Reconstruction of Unstructured Mesh Datasets [Conference Poster]. https://www.osti.gov/biblio/1331610

Blaylock, M., Safta, C., Templeton, J.A., & Templeton, J.A. (2015). A Novel Approach to Wall Model Treatment for Large Eddy Simulations [Conference Poster]. https://www.osti.gov/biblio/1253298

Blaylock, M., Templeton, J.A., Safta, C., Hewson, J.C., Domino, S.P., & Domino, S.P. (2015). Model Calibration and Forward Uncertainty Quantification for Large-Eddy Simulation of Turbulent Flows [Conference Poster]. https://www.osti.gov/biblio/1245792

Jones, R.E., Ward, D.K., Templeton, J.A., & Templeton, J.A. (2014). Spatial resolution of the electrical conductance of ionic fluids using a Green-Kubo method. Journal of Chemical Physics, 141(18). https://doi.org/10.1063/1.4901035

Blaylock, M., Templeton, J.A., Safta, C., & Safta, C. (2014). Model Calibration and Forward Uncertainty Quantification for Large-Eddy Simulation of Turbulent Flows [Presentation]. https://www.osti.gov/biblio/1504047

Ward, D.K., Jones, R.E., Templeton, J.A., Reyes, K.R., Kane, M., & Kane, M. (2014). Improved Parameterization of Ethylene Carbonate Model for Density and Transition Temperature [Conference Poster]. https://www.osti.gov/biblio/1315219

Jones, R.E., Templeton, J.A., Reyes, K.R., Erickson, K., Ward, D.K., & Ward, D.K. (2014). Improving Li-Air batteries by accurately predicting lithium diffusion coefficients [Conference]. https://www.osti.gov/biblio/1145515

Blaylock, M., Safta, C., Templeton, J.A., & Templeton, J.A. (2014). Rigorous LES Assessment for Predictive Simulations [Presentation]. https://www.osti.gov/biblio/1685007

Scott, S.N., Templeton, J.A., Ruthruff, J., Hough, P.D., Peterson, J.P., & Peterson, J.P. (2014). Computational solution verification and validation applied to a thermal model of a ruggedized instrumentation package. WIT Transactions on Modelling and Simulation, 55. https://doi.org/10.2495/CMEM130021