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检索条件"机构=Faculty of Physics and Applied Computer Science AGH"
5048 条 记 录,以下是41-50 订阅
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Lower limit of percolation threshold on a square lattice with complex neighborhoods
arXiv
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arXiv 2025年
作者: Cieplucha, Antoni Utnicki, Marcin Woloszyn, Maciej Malarz, Krzysztof AGH University Faculty of Physics and Applied Computer Science al. Mickiewicza 30 Kraków30-059 Poland
In this paper, the 60-year-old concept of long-range interaction in percolation problems introduced by Dalton, Domb, and Sykes, is reconsidered. With Monte Carlo simulation—based on Newman–Ziff algorithm and finite-... 详细信息
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Interplay of longitudinal and transverse expansion in the kinetic dynamics of heavy-ion collisions
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Physical Review C 2023年 第3期107卷 034916-034916页
作者: Piotr Bożek AGH University of Science and Technology Faculty of Physics and Applied Computer Science aleja Mickiewicza 30 30-059 Krakow Poland
The early dynamics in heavy-ion collisions involves a rapid, far from equilibrium evolution. This early pre-equilibrium stage of the dynamics can be modeled using kinetic equations. The effect of this pre-equilibrium ... 详细信息
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Momentum-dependent flow correlations in deformed nuclei at collision energies available at the BNL Relativistic Heavy Ion Collider
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Physical Review C 2023年 第5期107卷 054916-054916页
作者: Rupam Samanta Piotr Bożek AGH University of Science and Technology Faculty of Physics and Applied Computer Science aleja Mickiewicza 30 30-059 Cracow Poland
Flow fluctuations in ultrarelativistic heavy-ion collisions can be probed by studying the momentum dependent correlations or the factorization-breaking coefficients between flow harmonics in separate kinematic bins (t... 详细信息
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My part is bigger than yours - assessment within a group of peers
arXiv
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arXiv 2024年
作者: Kulakowski, Konrad Szybowski, Jacek AGH University of Krakow WEAIiIB Applied Computer Science Department Poland AGH University of Krakow Faculty of Applied Mathematics Poland
A project (e.g., writing a collaborative research paper) is often a group effort. At the end, each contributor identifies their contribution, often verbally. The reward, however, is very frequently financial. It leads...
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Odd-even effects in the structure and properties of aryl-substituted aliphatic self-assembled monolayers
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Nano Research 2024年 第5期17卷 4231-4243页
作者: Piotr Cyganik Andreas Terfort Michael Zharnikov Jagiellonian University Faculty of PhysicsAstronomy and Applied Computer ScienceSmoluchowski Institute of PhysicsŁojasiewicza 1130-348 KrakówPoland Institut für Anorganische und Analytische Chemie Universität FrankfurtMax-von-Laue-Straße 760438 FrankfurtGermany Applied Physical Chemistry Heidelberg UniversityIm Neuenheimer Feld 25369120 HeidelbergGermany
Self-assembled monolayers(SAMs)represent an important tool in context of nanofabrication and molecular engineering of surfaces and *** properties of functional SAMs depend not only on the character of the tail groups ... 详细信息
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Random Forest Pruning Techniques: A Recent Review
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Operations Research Forum 2023年 第2期4卷 43页
作者: Manzali, Youness Elfar, Mohamed Laboratory of Applied Physics Computer Science and Statistics Faculty of Sciences Dhar El Mahraz Sidi Mohamed Ben Abdellah University Fez Morocco
Random forest is one of the most used machine learning algorithms since its high predictive performance. However, many studies criticize it for the fact that it generates a large number of trees, which requires import... 详细信息
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Avoiding renormalization of the elastic transition amplitude in the proton-deuteron scattering calculations
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Physical Review C 2024年 第1期110卷 014003-014003页
作者: H. Witała J. Golak R. Skibiński M. Smoluchowski Institute of Physics Faculty of Physics Astronomy and Applied Computer Science
We discuss two approaches which, by applying the screening method, permit one to include the long range proton-proton (pp) Coulomb force in proton-deuteron (pd) momentum-space scattering calculations. In the first one... 详细信息
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physics-informed neural networks for classical and quantum communication with multimode fibers
Physics-informed neural networks for classical and quantum c...
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2024 Frontiers in Optics, FiO 2024
作者: Zhang, Qian Sun, Jiali Rothe, Stefan Czarske, Jürgen Faculty of Electrical and Computer Engineering TU Dresden Dresden01069 Germany Department of Applied Physics Yale University New HavenCT06520 United States Institute of Applied Physics School of Science TU Dresden Germany
physics-informed neural networks provide mode decomposition based on intensity-only images in high-dimensional quantum communication using multimode fibers. © Optica Publishing Group 2024, © 2024 The Author(s)
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Completely entangled subspaces of entanglement depth k
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Physical Review A 2024年 第1期110卷 012403-012403页
作者: Maciej Demianowicz Kajetan Vogtt Remigiusz Augusiak Institute of Physics and Applied Computer Science Faculty of Applied Physics and Mathematics Polish Academy of Sciences Aleja Lotników 32/46 02-668 Warsaw Poland Faculty of Physics
We introduce a class of entangled subspaces: completely entangled subspaces of entanglement depth k (k−CESs). These are subspaces of multipartite Hilbert spaces containing only pure states with an entanglement depth o... 详细信息
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Unveiling the Power of Sparse Neural Networks for Feature Selection  27
Unveiling the Power of Sparse Neural Networks for Feature Se...
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27th European Conference on Artificial Intelligence, ECAI 2024
作者: Atashgahi, Zahra Liu, Tennison Pechenizkiy, Mykola Veldhuis, Raymond Mocanu, Decebal Constantin van der Schaar, Mihaela Faculty of Electrical Engineering Mathematics and Computer Science University of Twente Netherlands Department of Applied Mathematics and Theoretical Physics University of Cambridge United Kingdom Department of Mathematics and Computer Science Eindhoven University of Technology Netherlands Department of Computer Science University of Luxembourg Luxembourg
Sparse Neural Networks (SNNs) have emerged as powerful tools for efficient feature selection. Leveraging the dynamic sparse training (DST) algorithms within SNNs has demonstrated promising feature selection capabiliti...
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