Zobrazeno 1 - 10
of 4 142
pro vyhledávání: '"Cooper, A. W."'
Autor:
Alzate-Vargas, Lorena, Subedi, Kashi N., Lubbers, Nicholas, Cooper, Michael W. D, Tutchton, Roxanne M., Gibson, Tammie, Messerly, Richard A.
Uranium mononitride (UN) is a promising accident tolerant fuel due to its high fissile density and high thermal conductivity. In this study, we developed the first machine learning interatomic potentials for reliable atomic-scale modeling of UN at fi
Externí odkaz:
http://arxiv.org/abs/2411.14608
Autor:
Piancastelli, Luiza S. C., Barreto-Souza, Wagner, Fortin, Norbert J., Cooper, Keiland W., Ombao, Hernando
This paper is motivated by studies in neuroscience experiments to understand interactions between nodes in a brain network using different types of data modalities that capture different distinct facets of brain activity. To assess Granger-causality,
Externí odkaz:
http://arxiv.org/abs/2409.17751
Graph Neural Networks (GNNs) have achieved promising performance in a variety of graph-focused tasks. Despite their success, however, existing GNNs suffer from two significant limitations: a lack of interpretability in their results due to their blac
Externí odkaz:
http://arxiv.org/abs/2309.13459
Autor:
Craven, Galen T., Chen, Renai, Cooper, Michael W. D., Matthews, Christopher, Rizk, Jason, Malone, Walter, Johnson, Landon, Gibson, Tammie, Andersson, David A.
Publikováno v:
Comput. Mater. Sci. 230, 112442 (2023)
The growth rate of structural defects in nuclear fuels under irradiation is intrinsically related to the diffusion rates of the defects in the fuel lattice. The generation and growth of atomistic structural defects can significantly alter the perform
Externí odkaz:
http://arxiv.org/abs/2310.08593
Autor:
Robbe, Pieterjan, Andersson, David, Bonnet, Luc, Casey, Tiernan, Cooper, Michael W D, Matthews, Christopher, Sargsyan, Khachik, Najm, Habib N
The evolution and release of fission gas impacts the performance of UO2 nuclear fuel. We have created a Bayesian framework to calibrate a novel model for fission gas transport that predicts diffusion rates of uranium and xenon in UO2 under both therm
Externí odkaz:
http://arxiv.org/abs/2302.10227
Autor:
Zhou, Shuxiang, Jiang, Chao, Xiao, Enda, Cooper, Michael W. D., Jin, Miaomiao, Marianetti, Chris A., Hurley, David H, Khafizov, Marat
The accuracy of physical property predictions using classical molecular dynamics simulations is determined by the quality of the empirical interatomic potentials (EIPs). We introduce a training approach for EIPs, based on direct comparisons of the se
Externí odkaz:
http://arxiv.org/abs/2204.13685
Autor:
Hurley, David H., El-Azab, Anter, Bryan, Matthew S., Cooper, Michael W. D., Dennett, Cody A., Gofryk, Krzysztof, He, Lingfeng, Khafizov, Marat, Lander, Gerard H., Manley, Michael E., Mann, J. Matthew, Marianetti, Chris A., Rickert, Karl, Selim, Farida A., Tonks, Michael R., Wharry, Janelle P.
Publikováno v:
Chem. Rev. 122, 3, 3711 (2022)
To efficiently capture the energy of the nuclear bond, advanced nuclear reactor concepts seek solid fuels that must withstand unprecedented temperature and radiation extremes. In these advanced fuels, thermal energy transport under irradiation is dir
Externí odkaz:
http://arxiv.org/abs/2204.13236
Autor:
Cooper, Zach W1 (AUTHOR) zach.cooper@uga.edu, Mowbray, Orion1 (AUTHOR), Ali, Mohammed K.2,3 (AUTHOR), Johnson, Leslie C. M.2 (AUTHOR)
Publikováno v:
BMC Primary Care. 8/23/2024, Vol. 25 Issue 1, p1-10. 10p.
In the early 1980s, Erd\H{o}s and S\'os initiated the study of the classical Tur\'an problem with a uniformity condition: the uniform Tur\'an density of a hypergraph $H$ is the infimum over all $d$ for which any sufficiently large hypergraph with the
Externí odkaz:
http://arxiv.org/abs/2112.01385
Autor:
Metheny, Leland L., Sobecks, Ronald, Cho, Christina, Fu, Pingfu, Margevicius, Seunghee, Wang, Jiasheng, Ciarrone, Lisa, Kopp, Shelby, Convents, Robin D., Majhail, Navneet, Caimi, Paolo F., Otegbeye, Folashade, Cooper, Brenda W., Gallogly, Molly, Malek, Ehsan, Tomlinson, Benjamin, Gerds, Aaron T., Hamilton, Betty, Giralt, Sergio, Perales, Miguel-Angel, de Lima, Marcos
Publikováno v:
In Blood Advances 26 March 2024 8(6):1384-1391