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CMTJ:Simulation package for analysis of multilayer spintronic devices

npj Computational Materials 2023年第1期9卷 1804-1813页

作者： Jakub Mojsiejuk Sławomir Ziętek Krzysztof Grochot Witold Skowroński Tomasz Stobiecki Institute of Electronics AGH University of Science and TechnologyAl.Mickiewicza 30Kraków 30-059Poland Faculty of Physics and Applied Computer Science AGH University of Science and TechnologyAl.Mickiewicza 30Kraków 30-059Poland

We present CMTJ—a simulation package for large-scale macrospin analysis of multilayer spintronics *** from conventional simulations,such as magnetoresistance and magnetisation hysteresis loops,CMTJ implements a mathematical model of dynamic experimental techniques commonly used for spintronics devices characterisation,for instance:spin diode ferromagnetic resonance,pulse-induced microwave magnetometry,or harmonic Hall voltage *** find that macrospin simulations offer a satisfactory level of agreement,demonstrated by a variety of *** a unified simulation package,CMTJ aims to accelerate wide-range parameter search in the process of optimising spintronics devices.

关键词： multilayer analysis hysteresis

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Quantum spin systems: Toroidal classification and geometric duality

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Physical Review B 2024年第14期110卷 L140403页

作者： Vahid Azimi-Mousolou Anders Bergman Anna Delin Olle Eriksson Manuel Pereiro Danny Thonig Erik Sjöqvist Department of Applied Mathematics and Computer Science Faculty of Mathematics and Statistics Department of Physics and Astronomy Department of Applied Physics School of Engineering Sciences (SeRC) Wallenberg Initiative Materials Science for Sustainability (WISE) Wallenberg Initiative Materials Science WISE School of Science and Technology

We demonstrate a toroidal classification for quantum spin systems, revealing an intrinsic geometric duality within this structure. Through our classification and duality, we reveal that various bipartite quantum features in magnon systems can manifest equivalently in both bipartite ferromagnetic and antiferromagnetic materials, based upon the availability of relevant Hamiltonian parameters. Additionally, the results highlight the antiferromagnetic regime as an ultrafast dual counterpart to the ferromagnetic regime, both exhibiting identical capabilities for quantum spintronics and technological applications. Concrete illustrations are provided, demonstrating how splitting and squeezing types of two-mode magnon quantum correlations can be realized across ferro- and antiferromagnetic regimes.

关键词： Magnons Quantum correlations in quantum information Quantum information processing Quantum information theory Spintronics

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Yang-Lee zeros for real-space condensation

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Physical Review E 2025年第1期111卷 L012101-L012101页

作者： Zdzislaw Burda Desmond A. Johnston Mario Kieburg Faculty of Physics and Applied Computer Science AGH University of Krakow al. Mickiewicza 30 30-059 Kraków Poland School of Mathematical and Computer Sciences Heriot-Watt University Riccarton Edinburgh EH14 4AS United Kingdom and Maxwell Institute of Mathematical Sciences Edinburgh United Kingdom School of Mathematics and Statistics University of Melbourne Parkville VIC 3010 Australia Faculty of Physics and Applied Computer Science AGH University of Krakow al. Mickiewicza 30 30-059 Kraków Poland and Faculty of Physics Bielefeld University P.O. Box 100131 D-33501 Bielefeld Germany

Using the electrostatic analogy, we derive an exact formula for the limiting Yang-Lee zero distribution in the random allocation model of general weights. This exhibits a real-space condensation phase transition, which is induced by a pressure change. The exact solution allows one to read off the scaling of the density of zeros at the critical point and the angle at which the locus of zeros hits the critical point. Since the order of the phase transition and critical exponents can be tuned with a single parameter for several families of weights, the model provides a useful testing ground for verifying various relations between the distribution of zeros and the critical behavior, as well as for exploring the behavior of physical quantities in the mesoscopic regime, i.e., systems of large but finite size. The main result is that asymptotically the Yang-Lee zeros are images of a conformal mapping, given by the generating function for the weights, of uniformly distributed complex phases.

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A Mathematical Model and Simulations of Low Temperature Nitriding Katarzyna Tkacz-Smiech *** dedicate this article to the memory of Professor Katarzyna Tkacz-Smiech

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computer Modeling in Engineering & sciences 2022年第2期130卷 777-803页

作者： Bogusław Bo˙zek Lucjan Sapa Katarzyna Tkacz-Smiech Marek Danielewski Janusz Rybak AGH University of Science and Technology Faculty of Applied MathematicsCracow30-059Poland AGH University of Science and Technology Faculty of Materials Science and CeramicsCracow30-059Poland

Low-temperature nitriding of steel or iron can produce an expanded austenite phase,which is a solid solution of a large amount of nitrogen dissolved interstitially in fcc *** is characteristic that the nitogen depth profiles in expanded austenite exhibit plateau-type *** behavior cannot be considered with a standard analytic solution for diffusion in a semi-infinite solid and a new approach is *** formulate a model of interdiffusion in viscoelastic solid(Maxwellmodel)during the nitriding *** combines themass conservation and Vegard’s rule with the Darken bi-velocity *** model is formulated in any dimension,i.e.,a mixture is included in R^(n),n=1,2,*** the system in one dimension,n=1,we transform a differential-algebraic system of 5 equations to a differential system of 2 equations only,which is better to study numerically and *** modification allows the formulation of effective mixed-type boundary *** resulting nonlinear strongly coupled parabolic-elliptic differential initial-boundary Stefan type problem is solved numerically and a series of simulations is made.

关键词： Nitriding expanded austenite Maxwell solid Darken method Vegard rule

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DISTANCE BETWEEN SPECIES BY CONFUSION OPERATORS OF MULTI-CLASS CLASSIFIERS

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UPB Scientific Bulletin, Series A: applied Mathematics and physics 2025年第1期2025卷 171-182页

作者： Tarbă, Nicolae Irimescu, Ionela N. Pleavă, Ana M. Scarlat, Eugen N. Mihăilescu, Mona Doctoral School Computer Science and Engineering Department Faculty of Automatic Control and Computers National University of Science and Technology POLITEHNICA Bucharest Romania Applied Sciences Doctoral School National University of Science and Technology POLITEHNICA Bucharest Romania CAMPUS Research Center National University of Science and Technology POLITEHNICA Bucharest Romania Physics Dept National University of Science and Technology POLITEHNICA Bucharest Romania Physics Dept Research Center for Applied Sciences in Engineering National University of Science and Technology POLITEHNICA Bucharest Romania

We introduce a method to evaluate the similarities between classes of objects based on the confusion matrices coming from the multi-class machine learning (ML) predictors that operate in the vector space generated by the classes. Operation in the confusion domain allows us to use the distance as evaluation metric of the closeness of the relevant properties carried by the classes. We applied the method to semiquantitatively evaluate the effects of X-ray and carbon ion radiation on cultured SW1353 chondrosarcoma cells with respect to the non-irradiated reference. We prove that it is possible to draw useful information on the strength of cells nuclei changes. © 2025, Politechnica university of Bucharest. All rights reserved.

关键词： Radiation effects

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Clean-Up Laser System for the Remote Terminal of an Optical Clock 37

Clean-Up Laser System for the Remote Terminal of an Optical ...

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37th European Frequency and Time Forum, EFTF 2024

作者： Krehlik, Przemyslaw Sliwczynski, Lukasz Buczek, Lukasz Kawalec, Tomasz Wojciechowski, Adam Weglarz, Antoni Dobosz, Jakub AGH University of Krakow Faculty of Computer Science Electronics and Telecommunications Poland Jagiellonian University in Krakow Faculty of Physics Astronomy and Computer Science Poland University of Warsaw Faculty of Physics Poland

ISBN: (纸本)9798350354270

In this work we present the concept and verification of the ULE cavity based clean-up system for a remote terminal of an optical atomic clock. Thanks to this solution the short-term stability of the signal provided by a long-haul optical fiber link is be significantly improved, to the level guaranteed by the high-finesse cavity, incorporated in the clean-up setup. © 2024 IEEE.

关键词： Optical fibers

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QCD Dynamics and Hadron Production in High-Energy Nuclear Collisions at LHCb

QCD Dynamics and Hadron Production in High-Energy Nuclear Co...

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2023 European Physical Society Conference on High Energy physics, EPS-HEP 2023

作者： Bashir, Saliha Faculty of Physics and Applied Computer Science AGH University of Krakow Al. Mickiewicza 30 Krakow30-059 Poland

This study investigates dijet and neutral pion production in high-energy nuclear collisions in the LHCb detector. The obtained measurements offer crucial insights into Quantum Chromodynamics (QCD), understanding of parton distribution functions, nuclear structure, and particle production dynamics. Specifically, the nuclear modification factor for neutral pions in proton-lead collisions at 8.16 TeV reveal notable first evidence enhancement in the backward region providing constraints on models of nuclear structure. Furthermore, the inclusive bb¯ and cc¯-dijet production cross-sections in the forward region of pp collisions at 13 TeV align with next-to-leading order theoretical predictions. These findings on dijet and neutral pion production offer complementary perspectives on PDFs and nuclear structure, crucial for comprehending QCD dynamics in high-energy nuclear collisions and refining theoretical models. © Copyright owned by the author(s) under the terms of the Creative Commons.

关键词： Distribution functions

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Reconstruction techniques and physics case for displaced tracks and vertices at LHC 32

Reconstruction techniques and physics case for displaced tra...

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32nd International Workshop on Vertex Detectors, VERTEX 2023

作者： Oblakowska-Mucha, Agnieszka Faculty of Physics and Applied Computer Science AGH University of Krakow Al. Mickiewicza 30 Krakow30-059 Poland

The primary focus of the LHC experiments was the observation of Standard Model particles and the search for unexplored signatures indicative of New physics. Given the current discoveries and measurements done so far, the detectors and the trigger architecture are being changed to allow for the searches of long-lived particles. LHCb's trackers have excelled in the precise reconstruction of heavy flavour hadrons, and the experiment is now at the forefront of designing flexible trigger systems. Similarly, ATLAS and CMS, with their precise trackers, are also exploring new avenues by implementing innovative triggers to search for long-lived particles. The techniques of the reconstruction of displaced tracks and vertices in the upgraded LHCb detector, complementary with other general-purpose detectors at the LHC, are presented in this proceedings. © Copyright owned by the author(s)

关键词： Hadrons

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In-service performance of emergency shutdown valves and dependent operational relationships in the offshore oil and gas industry

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Petroleum 2023年第4期9卷 613-620页

作者： Keith Cameron Andrew Lewis Diogo Montalvao Mohammad Reza Herfatmanesh School of Physics Engineering and Computer ScienceUniversity of HertfordshireUnited Kingdom Department of Design and Engineering Faculty of Science and TechnologyBournemouth UniversityUnited Kingdom

Industrial process plants use emergency shutdown valves(ESDVs)as safety barriers to protect against hazardous events,bringing the plant to a safe state when potential danger is *** ESDVs are used extensively in offshore oil and gas processing plants and have been mandated in the design of such systems from national and international standards and *** paper has used actual ESDV operating data from four mid/late life oil and gas production platforms in the North Sea to research operational relationships that are of interest to those responsible for the technical management and operation of *** first of the two relationships is between the closure time(CT)of the ESDV and the time it remains in the open position,prior to the close *** has been hypothesised that the CT of the ESDV is affected by the length of time that it has been open prior to being closed(Time since the last stroke).In addition to the general analysis of the data series,two sub-categories were created to further investigate this possible relationship for CT and these are“above mean”and“below mean”.The correlations(Pearson's based)resulting from this analysis are in the“weak”and“very weak”*** second relationship investigated was the effect of very frequent closures to assess if this improves the *** operational records for six subjects were analysed to find closures that occurred within a 24 h period of each ***,no discriminating trend was apparent where CT was impacted positively or negatively by the frequent closure *** was concluded that the variance of ESDV closure time cannot be influenced by the technical management of the ESDV in terms of scheduling the operation of the ESDV.

关键词： Emergency Shutdown Valve Safety instrumented systems Closure time IEC-61511

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Video classification for efficient data storage using deep learning: a comparison of sequential and simultaneous feature extraction methods

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Multimedia Tools and Applications 2025年第6期84卷 3071-3094页

作者： Dang Thi, Phuc Nguyen Dang, Hoang Thi Doan Huu, Phuc Dau Sy, Hieu Department of Computer Science Faculty of Information Technology Industrial University of Ho Chi Minh City 12 Nguyen Van Bao Ho Chi Minh City7000 Viet Nam Department of Applied Physics Faculty of Applied Science University of Technology - Viet Nam National University HCMC To Hien Thanh Ho Chi Minh City7000 Viet Nam

Optimizing camera information storage is a critical issue due to the increasing data volume and a large number of daily surveillance videos. In this study, we propose a deep learning-based system for efficient data storage. Videos captured by cameras are classified into four categories: no action, normal action, human action, and dangerous action. Videos without action or with normal action are stored temporarily and then deleted to save storage space. Videos with human action are stored for easy retrieval, while videos with dangerous action are promptly alerted to users. In the paper, we propose two approaches using deep learning models to address the video classification problem. The first approach is a separate approach, where pretrained CNN models extract features from video frame images. These features are then passed through RNN, Transformer models to extract relationships between them. The goal of this approach is to delve into extracting features of objects in the video. The proposed models include VGG16, InceptionV3 combined with LSTM, BiLSTM, Attention, and Vision Transformer. The next approach combines CNN and LSTM layers simultaneously through models like ConvLSTM and LRCN. This approach aims to help the model simultaneously extract object features and their relationships, with the goal of reducing model size, accelerating the training process, and increasing object recognition speed when deployed in the system. In Approach 1, we construct and refine network architectures such as VGG16+LSTM, VGG16+Attention+LSTM, VGG16+BiLSTM, VGG16+ViT, InceptionV3+LSTM, InceptionV3+Attention+LSTM, InceptionV3+BiLSTM. In Approach 2, we build a new network architecture based on the ConvLSTM and LRCN model. The training dataset, collected from real surveillance cameras, comprises 3315 videos labeled into four classes: no action (1018 videos), actions involving people (832 videos), dangerous actions (751 videos), and normal actions (714 videos). Experimental results show t

关键词： Deep learning

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