Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Ana Kupresanin"'
Publikováno v:
SIAM/ASA Journal on Uncertainty Quantification. 10:125-150
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d9d2d1a477cf06ad050e7654b2b70289
https://doi.org/10.1137/20m135279x
https://doi.org/10.1137/20m135279x
Autor:
David Rivera, Matthew Nelms, Ana Kupresanin, Amanda Muyskens, Kathleen Schmidt, Nathan R. Barton, J.N. Florando
Publikováno v:
Statistical Analysis and Data Mining: The ASA Data Science Journal. 14:636-646
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7ea0619138a49b709e9e8c3051115f73
https://doi.org/10.1002/sam.11513
https://doi.org/10.1002/sam.11513
Autor:
Egemen Kolemen, David Humphreys, Eric C. Cyr, Earl Lawrence, Robert Granetz, Abani Patra, D.P. Schissel, J. Hittinger, M. D. Boyer, Choong-Seock Chang, Valerio Pascucci, Ana Kupresanin, John Canik
Publikováno v:
Journal of Fusion Energy. 39:123-155
Machine learning and artificial intelligence (ML/AI) methods have been used successfully in recent years to solve problems in many areas, including image recognition, unsupervised and supervised classification, game-playing, system identification and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ddbca3abb320f4b6c86d385351899cfc
https://doi.org/10.1007/s10894-020-00258-1
https://doi.org/10.1007/s10894-020-00258-1
Autor:
J.N. Florando, Matthew Nelms, Nathan R. Barton, Ana Kupresanin, Amanda Muyskens, David Rivera, Jason Bernstein, Kathleen Schmidt
Publikováno v:
Computational Materials Science. 210:110999
Materials strength plays a key role in determining the mechanical response of engineered structures. As such, accurate strength models are crucial in simulations involving complex loading conditions, particularly when deformation in the plastic regim
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c261aa71c685f9e9b0b05c70ab580854
https://doi.org/10.1016/j.commatsci.2021.110999
https://doi.org/10.1016/j.commatsci.2021.110999
Autor:
Earl Lawrence, Egemen Kolemen, John Canik, Abani Patra, Ana Kupresanin, D.P. Schissel, Valerio Pascucci, Dan Boyer, Jeff Hittinger, David Humphreys, Eric C. Cyr, Robert Granetz
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2f7e1f5a9091880db9ea581188e6b771
https://doi.org/10.2172/1615240
https://doi.org/10.2172/1615240
Publikováno v:
AIP Conference Proceedings.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c36c63929b9e611d4a0b5dd6648ab747
https://doi.org/10.1063/1.5044954
https://doi.org/10.1063/1.5044954
Publikováno v:
Statistica Sinica.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cdc3cefb724110c8197ab3c451a39850
https://doi.org/10.5705/ss.202016.0130
https://doi.org/10.5705/ss.202016.0130
Autor:
J.N. Florando, David Rivera, Nathan R. Barton, Ana Kupresanin, Jason Bernstein, Kathleen Schmidt
Publikováno v:
Computational Materials Science. 169:109098
Predicting material flow strength over a range of conditions, such as temperature and strain rate, is necessary for many engineering applications. This paper considers how to compare the predictiveness of several different strength models using a sta
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::79d93300b07ab6d193545972b8ddca49
https://doi.org/10.1016/j.commatsci.2019.109098
https://doi.org/10.1016/j.commatsci.2019.109098
Autor:
Dan Maljovec, Gardar Johannesson, Ana Kupresanin, Bei Wang, Valerio Pascucci, Peer-Timo Bremer
Publikováno v:
International Journal for Uncertainty Quantification. 3:119-141
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a85c7bb72219a80be4661983e669fcef
https://doi.org/10.1615/int.j.uncertaintyquantification.2012003955
https://doi.org/10.1615/int.j.uncertaintyquantification.2012003955