Zobrazeno 1 - 10
of 56
pro vyhledávání: '"Jeremy A. Templeton"'
Autor:
Maher Salloum, Nathan D. Fabian, David M. Hensinger, Jina Lee, Elizabeth M. Allendorf, Ankit Bhagatwala, Myra L. Blaylock, Jacqueline H. Chen, Jeremy A. Templeton, Irina Tezaur
Publikováno v:
Data Science and Engineering, Vol 3, Iss 1, Pp 1-23 (2017)
Abstract Exascale computing promises quantities of data too large to efficiently store and transfer across networks in order to be able to analyze and visualize the results. We investigate compressed sensing (CS) as an in situ method to reduce the si
Externí odkaz:
https://doaj.org/article/a64fa43256494184a5cbaf6fddcba48f
Autor:
Francesco Rizzi, Brad L. Boyce, Reese E. Jones, Jeremy Alan Templeton, Mohammad Khalil, Jakob T. Ostien
Publikováno v:
Computer Methods in Applied Mechanics and Engineering. 353:183-200
The advent of fabrication techniques such as additive manufacturing has focused attention on the considerable variability of material response due to defects and other microstructural aspects. This variability motivates the development of an enhanced
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4348f090de5aaf384674de643a71f76a
https://doi.org/10.1016/j.cma.2019.05.012
https://doi.org/10.1016/j.cma.2019.05.012
Autor:
David M. Hensinger, Jeremy Alan Templeton, Elizabeth M. Allendorf, Maher Salloum, Jacqueline H. Chen, Nathan Fabian, Myra Blaylock, Ankit Bhagatwala, Irina Kalashnikova Tezaur, Jina Lee
Publikováno v:
Data Science and Engineering, Vol 3, Iss 1, Pp 1-23 (2017)
Exascale computing promises quantities of data too large to efficiently store and transfer across networks in order to be able to analyze and visualize the results. We investigate compressed sensing (CS) as an in situ method to reduce the size of the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::73d5dced13f7d01589dee449b2f3426c
http://link.springer.com/article/10.1007/s41019-017-0042-4
http://link.springer.com/article/10.1007/s41019-017-0042-4
Publikováno v:
Journal of The Electrochemical Society. 164:A6422-A6430
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::70f6482bc6ddc29cf61b467886bd4ad6
https://doi.org/10.1149/2.0641701jes
https://doi.org/10.1149/2.0641701jes
Autor:
Nathan M. Heckman, Francesco Rizzi, Reese E. Jones, Mohammad Khalil, Jakob T. Ostien, Gregory H. Teichert, Jeremy Alan Templeton, Kousuke Tachida, Ari Frankel, Brad L. Boyce
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9079d1d3d6cd6e33a2a0b891fee515e0
https://doi.org/10.2172/1814062
https://doi.org/10.2172/1814062
Publikováno v:
Journal of Fluid Mechanics. 807:155-166
There exists significant demand for improved Reynolds-averaged Navier–Stokes (RANS) turbulence models that are informed by and can represent a richer set of turbulence physics. This paper presents a method of using deep neural networks to learn a m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::931e6a0dc04f0540e072441ef5cb2e89
https://doi.org/10.1017/jfm.2016.615
https://doi.org/10.1017/jfm.2016.615
Publikováno v:
Journal of Computational Physics. 318:22-35
In many scientific fields, empirical models are employed to facilitate computational simulations of engineering systems. For example, in fluid mechanics, empirical Reynolds stress closures enable computationally-efficient Reynolds Averaged Navier Sto
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::521f15a8460858ea79a4b652ea7388ff
Autor:
Habib N. Najm, Stefan P. Domino, Jeremy Alan Templeton, Cosmin Safta, Myra Blaylock, Khachik Sargsyan
Publikováno v:
International Journal for Numerical Methods in Fluids. 83:376-401
Summary In this paper we present a Bayesian framework for estimating joint densities for Large-Eddy Simulation (LES) sub-grid scale model parameters based on canonical forced isotropic turbulence Direct Numerical Simulation (DNS) data. The framework
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6bb2eccfb0288eb396d9ec9891e98549
https://doi.org/10.1002/fld.4272
https://doi.org/10.1002/fld.4272
Publikováno v:
Langmuir. 31:7496-7502
The Poisson-Boltzmann theory for electrolytes near a charged surface is known to be invalid due to unaccounted physics associated with high ion concentration regimes. To investigate this regime, fluids density functional theory (f-DFT) and molecular
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ce5fa13948741b91dad130d36d4c25f6
https://doi.org/10.1021/acs.langmuir.5b00215
https://doi.org/10.1021/acs.langmuir.5b00215
Autor:
Jerrod P Peterson, Michael V. Rosario, P.D. Hough, J.R. Ruthruff, Jeremy Alan Templeton, Sarah Nicole Scott
Publikováno v:
International Journal of Computational Methods and Experimental Measurements. 3:101-120
This paper presents a proposed methodology for applying statistical techniques as the basis for validation activities of a computer model of heat transfer. To demonstrate this approach, a case study of a Ruggedized Instrumentation Package subject to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5a0bc4c2d33637b9616815fadd64c546
https://doi.org/10.2495/cmem-v3-n2-101-120
https://doi.org/10.2495/cmem-v3-n2-101-120