Zobrazeno 1 - 10
of 22
pro vyhledávání: '"Kyle S Hickmann"'
Autor:
Kyle S Hickmann, Geoffrey Fairchild, Reid Priedhorsky, Nicholas Generous, James M Hyman, Alina Deshpande, Sara Y Del Valle
Publikováno v:
PLoS Computational Biology, Vol 11, Iss 5, p e1004239 (2015)
Infectious diseases are one of the leading causes of morbidity and mortality around the world; thus, forecasting their impact is crucial for planning an effective response strategy. According to the Centers for Disease Control and Prevention (CDC), s
Externí odkaz:
https://doaj.org/article/62d4b974b0824cbfa3294a3045c8c8bf
Publikováno v:
Applications of Machine Learning 2021.
In this work we demonstrate a method for leveraging high-fidelity, multi-physics simulations of high-speed impacts in a particular manufactured material to encode prior information regarding the impactor material's strength properties. Our simulation
Autor:
Deborah A. Shutt, Garry R. Maskaly, Vincent P. Chiravalle, Andy Liao, Chris L. Fryer, Kyle S. Hickmann, Nga Nguyen-Fotiadis
Publikováno v:
Applications of Machine Learning 2021.
We demonstrate and analyze a new methodology for detecting and characterizing shocks in high energy density physics (HEDP) experiments using simulated radiographs. Our method consists of simulating many variations of an HEDP experiment using a multi-
Particle image velocimetry (PIV) is an effective tool in experimental fluid mechanics to extract flow fields from images. Recently, convolutional neural networks (CNNs) have been used to perform PIV analysis with accuracy on par with classical method
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5df57a15d43af6225e379474b0b14122
http://arxiv.org/abs/2012.00642
http://arxiv.org/abs/2012.00642
Autor:
Aaron C. Koskelo, John W. Grove, Ralph Menikoff, Adam C. Coleman, Tariq D. Aslam, Michael James Steinkamp, Stephen A. Andrews, Kyle S. Hickmann, Troy Holland, John W. Gibbs, Gowri Srinivasan, Jessica Thrussell, John Vandenkieboom, Kendra L. Van Buren, Matthew A. Price, Jim Ferguson
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::98174e24c8c0418291ea6d43d17ed947
https://doi.org/10.2172/1663159
https://doi.org/10.2172/1663159
Autor:
Humberto C. Godinez‐Vasquez, Carl J. Henney, Grant Meadors, Kyle S. Hickmann, C. N. Arge, Shaela I. Jones
Publikováno v:
Space Weather. 18
We demonstrate that the recently developed Optimal Uncertainty Quantification (OUQ) theory, combined with recent software enabling fast global solutions of constrained non-convex optimization problems, provides a methodology for rigorous model certif
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ffa1a613cfb1d73ccd56e61f3654c3e2
https://doi.org/10.1142/9789811204579_0014
https://doi.org/10.1142/9789811204579_0014
Autor:
Diane Oyen, Nishant Panda, Daniel O'Malley, Raphael T. Haftka, Gowri Srinivasan, M. Giselle Fernández-Godino, Kyle S. Hickmann
Publikováno v:
AIAA Scitech 2020 Forum.