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Hybrid codes are widely used to model ion-scale phenomena in space plasmas. Hybrid codes differ from full particle (PIC) codes in that the electrons are modeled as a fluid that is usually assumed to be massless, while the electric field is not advanc
Externí odkaz:
http://arxiv.org/abs/2204.01676
Autor:
Madiraju, Naveen, Karimabadi, Homa
Although deep networks have been widely adopted, one of their shortcomings has been their blackbox nature. One particularly difficult problem in machine learning is multivariate time series (MVTS) classification. MVTS data arise in many applications
Externí odkaz:
http://arxiv.org/abs/2005.13037
Autor:
Chen, Li-Jen, Bessho, Naoki, Bookbinder, Jay A., Caprioli, Damiano, Goldstein, Melvin, Ji, Hantao, Jian, Lan K., Karimabadi, Homa, Khotyaintsev, Yuri, Klein, Kristopher G., Lavraud, Benoit, Matthaeus, William, Moore, Thomas E., Retino, Alessandro, Roberts, Owen W., Roytershteyn, Vadim, Schiff, Conrad, Spence, Harlan, Stawarz, Julia, TenBarge, Jason, Wang, Shan
We have become heavily reliant on electrical technologies, from power grids to GPS to wireless communication. Any disruption of these systems will have severe global consequences. A major natural hazard for such electrical disruption is caused by sol
Externí odkaz:
http://arxiv.org/abs/1908.04192
Wavelet basis functions are a natural tool for analyzing turbulent flows containing localized coherent structures of different spatial scales. Here, wavelets are used to study the onset and subsequent transition to fully developed turbulence from a l
Externí odkaz:
http://arxiv.org/abs/1812.01056
Unsupervised learning of time series data, also known as temporal clustering, is a challenging problem in machine learning. Here we propose a novel algorithm, Deep Temporal Clustering (DTC), to naturally integrate dimensionality reduction and tempora
Externí odkaz:
http://arxiv.org/abs/1802.01059
Autor:
Parashar, Tulasi N, Salem, Chadi, Wicks, Robert, Karimabadi, Homa, Gary, S Peter, Chandran, Benjamin, Matthaeus, William H
The goal of this document is to present a detailed description of the goals, simulation setup and diagnostics for the Turbulent Dissipation Challenge (arXiv:1303.0204) as discussed in the Solar Heliospheric and INterplanetary Environment (SHINE) 2013
Externí odkaz:
http://arxiv.org/abs/1405.0949
Akademický článek
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Akademický článek
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Publikováno v:
Philosophical Transactions: Mathematical, Physical and Engineering Sciences, 2015 May . 373(2041), 1-13.
Externí odkaz:
http://www.jstor.org/stable/24506221
Autor:
Omelchenko, Yuri, Karimabadi, Homa
Simulation results from our work published in an article entitled "Intelligent Agent-Based Technology For Simulation of Multiscale Systems" to appear in Springer book on simulation technologies in Space Sciences.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b44f8b5d46ad30e5f20a2ec22e347952