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Academic Articles & Research Papers
Showing 13 of 153 academic articles
Wonbae Bang, M. T. Kaffash, M. T. Hossain, A. Hoffmann et al. • AIP Advances
(2022)
We report experimental and theoretical studies of spin dynamics in lattice structures of permalloy (Ni80Fe20) nano-ellipses, with four different types of networks including honeycomb and square lattices. The lattices are patterned at the ce...
DOAJ
Open Access (DOAJ)
DOI: 10.1063/9.0000307
Martirosyan Zh. R., Hakobyan A. A., Adibekyan V., Barkhudaryan L. V. et al. • Astronomy & Astrophysics
(2026)
Context. The transport of gas toward galactic centers and its connection to active galactic nucleus (AGN) activity remain key open questions in galaxy evolution. In particular, the relative roles of stellar bars and spiral arms and their po...
DOAJ
Open Access (DOAJ)
DOI: 10.1051/0004-6361/202661413
Glyn A. Collinson, Heli Hietala, Ferdinand Plaschke, Tomas Karlsson et al. • Geophysical Research Letters
(2023)
Abstract Shocklets and short large‐amplitude magnetic structures (SLAMS) are steepened magnetic fluctuations commonly found in Earth's upstream foreshock. Here we present Venus Express observations from the 26th of February 2009 establishin...
DOAJ
Open Access (DOAJ)
DOI: 10.1029/2023GL104610
Farshid Danesh, Samaneh Kesht Karan, Lili Banihashemi, Somayeh GhaviDel • International Journal of Information Science and Management
(2023)
Editorial board members (EBMs) of journals play a pivotal role in authentic international scientific journals. Editorial Board Interlocking (EBI) phenomenon reflects the effectiveness and importance of the scholarly journal's editorial boar...
DOAJ
Open Access (DOAJ)
DOI: 10.22034/ijism.2022.1977746.0
Roger E. Cohen, Kristen B. W. McQuinn, Alessandro Savino, Max J. B. Newman et al. • The Astrophysical Journal
(2025)
Radial stellar population gradients within dwarf galaxies provide a promising avenue for disentangling the drivers of galaxy evolution, including environment. Within the Local Volume, radial stellar age gradient slopes correlate with intera...
DOAJ
Open Access (DOAJ)
DOI: 10.3847/1538-4357/adb61d
Karol Horodecki, Jingfang Zhou, Maciej Stankiewicz, Roberto Salazar et al. • New Journal of Physics
(2023)
Quantum contextuality is one of the most recognized resources in quantum communication and computing scenarios. We provide a new quantifier of this resource, the rank of contextuality (RC). We define RC as the minimum number of non-contextu...
DOAJ
Open Access (DOAJ)
DOI: 10.1088/1367-2630/acdf78
Lorenzo Devilla, Nicla Mercurio • Linguistik Online
(2026)
Since the early twenty-first century, ecological, economic, and geopolitical crises have intensified challenges related to food systems, reshaping dietary practices and individual relationships with the environment. Sustainable food consump...
DOAJ
Open Access (DOAJ)
DOI: 10.13092/csznaa09
Bazzanini L., Angora G., Bergamini P., Meneghetti M. et al. • Astronomy & Astrophysics
(2026)
Strong gravitational lensing (SL) by galaxy clusters is a powerful probe of their inner mass distribution and a key test bed for cosmological models. However, the detection of SL events in wide-field surveys such as Euclid requires robust a...
DOAJ
Open Access (DOAJ)
DOI: 10.1051/0004-6361/202557590
Sebastian Macaluso, David Shih • Journal of High Energy Physics
(2018)
Abstract We apply computer vision with deep learning — in the form of a convolutional neural network (CNN) — to build a highly effective boosted top tagger. Previous work (the “DeepTop” tagger of Kasieczka et al) has shown that a CNN-based ...
DOAJ
Open Access (DOAJ)
DOI: 10.1007/JHEP10(2018)121
Nicholas M. Ball, Robert J. Brunner • International Journal of Modern Physics D
(2010)
We review the current state of data mining and machine learning in astronomy. Data Mining can have a somewhat mixed connotation from the point of view of a researcher in this field. If used correctly, it can be a powerful approach, holding ...
OPENALEX
Open Access
DOI: https://doi.org/10.1142/s0218271810017160
Biprateep Dey, David Zhao, Brett H Andrews, Jeffrey A Newman et al. • Machine Learning: Science and Technology
(2025)
Key science questions, such as galaxy distance estimation and weather forecasting, often require knowing the full predictive distribution of a target variable Y given complex inputs X . Despite recent advances in machine learning and physic...
DOAJ
Open Access (DOAJ)
DOI: 10.1088/2632-2153/ae1f05
Francesco Carnazza, Federico Carollo, Dominik Zietlow, Sabine Andergassen et al. • New Journal of Physics
(2022)
Full information about a many-body quantum system is usually out-of-reach due to the exponential growth—with the size of the system—of the number of parameters needed to encode its state. Nonetheless, in order to understand the complex phen...
DOAJ
Open Access (DOAJ)
DOI: 10.1088/1367-2630/ac7df6
S J Watts, L Crow • Machine Learning: Science and Technology
(2025)
In recent years generative artificial intelligence has been used to create data to support scientific analysis. For example, generative adversarial networks (GANs) have been trained using Monte Carlo simulated input and then used to generat...
DOAJ
Open Access (DOAJ)
DOI: 10.1088/2632-2153/add78d