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SSRN 2024年

作者： Baczmański, Andrzej Wroński, Sebastian François, Manuel Le Joncour, Léa Panicaud, Benoit Braham, Chedly Ludwik, Aleksandra Wierzbanowski, Krzysztof Klosek, Vincent AGH University of Kraków Faculty of Physics and Applied Computer Science al. Mickiewicza 30 Kraków30-059 Poland 12 rue Marie Curie Troyes10010 France PIMM 151 Bd de l’Hôpital 75013 Paris France CEA Laboratoire Léon Brillouin Gif-sur-Yvette91191 Cedex France

In this work, a new method for determining the critical resolved shear stress (CRSS) and stress concentration in polycrystalline grains was tested and applied to study the elastic-plastic properties of textured duplex steel. The methodology is based on in situ neutron diffraction measurements of lattice strains during tensile loading. The lattice deformations are measured for several hkl reflections and for different sample orientations with respect to the scattering vector. As a result, the full stress tensor for preferred texture orientations in function of applied stress has been determined using the crystallite group method (CGM). Knowing the experimental values of stresses, the stress concentration tensor is determined. The experimental data are then compared with self-consistent model calculations performed for groups of grains corresponding to the measured hkl reflections. The important advance of the proposed methodology consists in the possibility of estimating the CRSSs directly from measurements, without the use of any elastic-plastic *** the research carried out, on the basis of diffraction measurements, the evolution of grain stresses in preferred orientations in the ferritic and austenitic phases of the tested duplex steel was determined. Using these data, the evolution of the resolved shear stress (RSS) was analysed and, for the first time, CRSS values in both duplex phases were obtained directly from the experimental data. The final results also took into account the influence of initial stresses in the obtained material on the determined CRSSs. © 2024, The Authors. All rights reserved.

关键词： Neutron diffraction

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Numerical Approach of Laser-Induced Spherical Microcavitation Bubbles: Effect of Enthalpy

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Bulletin of the Russian Academy of sciences: physics 2024年第SUPPL 3期88卷 S287-S292页

作者： Ali F. Abu-Bakr Abu-Nab, Ahmed K. AbuShaeer, Zain Department of Mathematics and Computer Science Faculty of Science Menoufia University Shebin El-Koom32511 Egypt Phystech School of Applied Mathematics and Informatics Moscow Institute of Physics and Technology Dolgoprudny Moscow141700 Russia Center for Photonics and 2D Materials Moscow Institute of Physics and Technology Dolgoprudny141700 Russia Department of Basic Science Higher Institute of Engineering and Technology Kafrelsheikh33511 Egypt

Abstract: Over the past decades, interest has increased in studying different techniques to detect the importance of microbubbles in many industrial and medical applications such as mechanisms of hydraulic machinery cavitation erosion, histotripsy, and lithotripsy. The behavior from early irregular oscillations to late regular oscillations of spherical microcavitation bubbles produced by lasers in water was studied by means of plasma photography. Repetition of such delayed oscillations results in quantities of gas/vapour inside the spherical bubbles. Using the modified Gilmore model of cavitation microbubble dynamics, calculations were made for the laser pulse energy, microbubble radius behavior, and microbubble growth rate. Additionally, the pressure evolution inside the bubble, and pressures distribution surrounding of microbubbles in liquid are investigated under the effect of different values of initial cavitation of microbubble radius. The effect of enthalpy is considered into account. The proposed model is solved numerically using numerical techniques as a finite difference method. In addition, the radius of the microbubbles is calculated as a function of time under the influence of the initial radius of these laser-induced microcavitations. Moreover, some physical properties and numerical calculations of the presented mathematical model for cavitation induced by lasers bubbles are deduced, analyzed and investigated. © Pleiades Publishing, Ltd. 2024.

关键词： Cavitation

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Novel Silicon and GaAs Sensors for Compact Sampling Calorimeters

arXiv

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arXiv 2025年

作者： Abramowicz, H. Soto, M. Almanza Benhammou, Y. Daniluk, W. Elad, M. Firlej, M. Fiutowski, T. Ghenescu, V. Grzelak, G. Horn, D. Huang, S. Idzik, M. Irles, A. Kotula, J. Levy, A. Levy, I. Lohmann, W. Moron, J. Neagu, A.T. Pietruch, D. Potlog, P.M. Wientek, K. Zarnecki, A.F. Zembaczyński, K. School of Physics and Astronomy Tel Aviv University Tel Aviv-Yafo69978 Israel IFIC CSIC and Universitat de València C/ Catedràtic José Beltrán Martínez 2 Paterna46980 Spain Faculty of Physics and Applied Computer Science AGH University of Krakow Kraków30-059 Poland Institute of Space Science Bucharest077125 Romania Faculty of Physics University of Warsaw Pasteura 5 Warszawa02-093 Poland Platanenallee 6 Zeuthen15738 Germany Institute of Physics Brandenburg University of Technology Platz der Deutschen Einheit 1 Cottbus03046 Germany

Two samples of silicon pad sensors and two samples of GaAs sensors are studied in an electron beam with 5 GeV energy from the DESY-II test-beam facility. The sizes of the silicon and GaAs sensors are about 9×9 cm2 and 5×8 cm2, respectively. The thickness is 500 µm for both the silicon and GaAs sensors. The pad size is about 5×5 mm2. The sensors are foreseen to be used in a compact electromagnetic sampling calorimeter. The readout of the pads is done by metal traces connected to the pads and the front-end ASICs at the edges of the sensors. For the silicon sensors, copper traces on a Kapton foil are connected to the sensor pads with conducting glue. The pads of the GaAs sensors are connected to the bond-pads via aluminium traces on the sensor substrate. The readout is based on a dedicated front-end ASIC, called FLAME. Pre-processing of the raw data and deconvolution is performed with FPGAs. The whole system is orchestrated by a Trigger Logic Unit. Results are shown for the signal-to-noise ratio, the homogeneity of the response, edge effects on pads, and for signals due to the readout traces. Copyright © 2025, The Authors. All rights reserved.

关键词： Silicon sensors

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Simplistic Approach for Determining Center Shift of Mössbauer Spectrum: Exemplified on Two Cases

SSRN

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SSRN 2022年

作者： Dubiel, Stanislaw M. Żukrowski, Jan Faculty of Physics and Applied Computer Science KrakówPL-30-059 Poland Academic Center for Materials and Nanotechnology KrakówPL-30-059 Poland AGH University of Science and Technology KrakówPL-30-059 Poland

A very simple method for determining the center (isomer) shift, CS, of a Mössbauer spectrum is outlined. Its applicability is demonstrated on two examples viz. pyrite and a ternary sigma-phase Fe-Cr-Ni compound. Sets of the spectra recorded in the temperature interval of 78-295 K for the former, and 5-293 K for the latter were analyzed with the simple and a commonly used ***(T)-values obtained with both ways of the fitting procedures were analyzed in terms of the Debye model. The determined therefrom values of the Debye temperatures agree within the error limit with each other proving thereby that this very simple method gives correct values of CS. © 2022, The Authors. All rights reserved.

关键词： Ternary alloys

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Prefix-free parsing for building large tunnelled Wheeler graphs

arXiv

引用

arXiv 2022年

作者： Goga, Adrián Baláž, Andrej Department of Computer Science Faculty of Mathematics Physics and Informatics Comenius University Bratislava Slovakia Department of Applied Informatics Faculty of Mathematics Physics and Informatics Comenius University Bratislava Slovakia

We propose a new technique for creating a space-efficient index for large repetitive text collections, such as pangenomic databases containing sequences of many individuals from the same species. We combine two recent techniques from this area: Wheeler graphs (Gagie et al., 2017) and prefix-free parsing (PFP, Boucher et al., 2019). Wheeler graphs are a general framework encompassing several indexes based on the Burrows-Wheeler transform (BWT), such as the FM-index. Wheeler graphs admit a succinct representation which can be further compacted by employing the idea of tunnelling, which exploits redundancies in the form of parallel, equally-labelled paths called blocks that can be merged into a single path. The problem of finding the optimal set of blocks for tunnelling, i.e. the one that minimizes the size of the resulting Wheeler graph, is known to be NP-complete and remains the most computationally challenging part of the tunnelling process. To find an adequate set of blocks in less time, we propose a new method based on the prefix-free parsing (PFP). The idea of PFP is to divide the input text into phrases of roughly equal sizes that overlap by a fixed number of characters. The phrases are then sorted lexicographically. The original text is represented by a sequence of phrase ranks (the parse) and a list of all used phrases (the dictionary). In repetitive texts, the PFP representation of the text is generally much shorter than the original since individual phrases are used many times in the parse, thus reducing the size of the dictionary. To speed up the block selection for tunnelling, we apply the PFP to obtain the parse and the dictionary of the original text, tunnel the Wheeler graph of the parse using existing heuristics and subsequently use this tunnelled parse to construct a compact Wheeler graph of the original text. Compared with constructing a Wheeler graph from the original text without PFP, our method is much faster and uses less memory on collections of

关键词： Graphic methods

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Efficient representation of minimally entangled typical thermal states in two dimensions via projected entangled pair states

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Physical Review B 2024年第4期109卷 045136-045136页

作者： Aritra Sinha Marek M. Rams Jacek Dziarmaga Institute of Theoretical Physics Faculty of Physics Astronomy and Applied Computer Science Jagiellonian University ul. Łojasiewicza 11 30-348 Kraków Poland Max Planck Institute for the Physics of Complex Systems Nöthnitzer Strasse 38 Dresden 01187 Germany Mark Kac Center for Complex Systems Research Jagiellonian University ul. Łojasiewicza 11 30-348 Kraków Poland

The minimally entangled typical thermal states (METTS) are an ensemble of pure states, equivalent to the Gibbs thermal state, designed with an efficient tensor network representation in mind. In this article, we use the projected entangled pair states (PEPS) as their representation on a two-dimensional (2D) lattice. Unlike matrix product states (MPS), which for 2D systems are limited by an exponential computational barrier in the lattice size, PEPS provides a more tractable approach. To substantiate the prowess of PEPS in modeling METTS (dubbed PEPS-METTS), we benchmark it against the purification method in the context of the 2D quantum Ising model at its critical temperature. Our analysis reveals that PEPS-METTS achieves accurate results with significantly lower bond dimensions. We further corroborate this finding in the 2D Fermi-Hubbard model. At a technical level, we introduce an efficient zipper method to obtain PEPS boundary MPS needed to compute expectation values and perform sampling. The imaginary time evolution is done with the neighborhood tensor update.

关键词： Fermions Quantum phase transitions Temperature Transition temperature Projected entangled pair states Symmetries in condensed matter

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Completely entangled subspaces of entanglement depth k

arXiv

引用

arXiv 2023年

作者： Demianowicz, Maciej Vogtt, Kajetan Augusiak, Remigiusz Institute of Physics and Applied Computer Science Faculty of Applied Physics and Mathematics Gdańsk University of Technology Narutowicza 11/12 Gdańsk80-233 Poland Center for Theoretical Physics Polish Academy of Sciences Aleja Lotników 32/46 Warsaw02-668 Poland Faculty of Physics University of Warsaw Pasteura 5 Warsaw02-093 Poland

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 of at least k. We present an efficient construction of k-CESs of any achievable dimensionality in any multipartite scenario. Further, we discuss the relation between these subspaces and unextendible product bases (UPBs). In particular, we establish that there is a non-trivial bound on the cardinality of a UPB whose orthocomplement is a k-CES. Further, we discuss the existence of such UPBs for qubit systems. © 2023, CC BY.

关键词： Quantum entanglement

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A New Approach Towards Identification of Individuals Belonging to Different Subpopulations Using Machine Learning Models and CLC Data

A New Approach Towards Identification of Individuals Belongi...

引用

IEEE International Conference on Data Mining Workshops (ICDM Workshops)

作者： Małgorzata Charytanowicz Kajetan Perzanowski Maciej Januszczak Aleksandra Wołoszyn-Gałęza Maria Sobczuk Piotr Kulczycki Department of Computer Science Lublin University of Technology Lublin Poland Systems Research Institute Polish Academy of Sciences Warsaw Poland Institute of Biological Sciences John Paul II Catholic University of Lublin Lublin Poland Museum and Institute of Zoology Polish Academy of Sciences Ustrzyki Dolne Poland Chair of Animal Genetics and Conservation Warsaw University of Life Sciences Warsaw Poland Faculty of Physics and Applied Computer Science AGH University of Krakow Krakow Poland

ISBN: (数字)9798331530631

ISBN: (纸本)9798331530648

Spatial distributions of wisents (European bison) Bison bonasus (Linnaeus 1758), were studied in the Bieszczady Mountains (south-eastern Poland) on the basis of telemetric data obtained from two subpopulations: the western – inhabiting the forest districts of Baligród, Komańcza, Cisna and Lesko, and the eastern – dwelling within the districts of Lutowiska, Stuposiany, and in Bieszczadzki National park. Data was collected between 2002-2021. In our study, we propose a novel approach for classifying wisent subpopulations that utilizes machine learning methods and CLC data. For this purpose, the performances of eight algorithms: Naive Bayes, Logistic Regression, Support Vector Machine, Multilayer Perceptron, Random Forest, Extreme Gradient Boosting, k-Nearest Neighbors and Decision Tree were investigated. The algorithms were compared according to the following indicators: accuracy, Cohen’s-Kappa, precision, recall and F1 score. Their assessment was enhanced through the application of statistical inference (the Friedman test with post-hoc analysis) and SHAP values. The lowest results were achieved by Naive Bayes and Logistic Regression methods (accuracy of 73.69% and 74.43%, respectively), whilst significantly higher results were achieved by eXtreme Gradient Boosting, k-Nearest Neighbors and Decision Tree classifiers, with the classification accuracy exceeding 90% (91.81%, 92.8%, 93.47%, respectively). Based on the results, we conclude that CLC data represents a valuable source of information regarding the affinity of wisents towards different habitat conditions.

关键词： Logistic regression Accuracy Machine learning algorithms Nearest neighbor methods Boosting Inference algorithms Classification algorithms Bayes methods Telemetry Decision trees

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Forward Brillouin Point Sensor in a Multi-Core Fiber 27

Forward Brillouin Point Sensor in a Multi-Core Fiber

引用

27th International Conference on Optical Fiber Sensors, OFS 2022

作者： Shemer, Keren Bashan, Gil Zehavi, Elad Diamandi, Hilel Hagai Bernstein, Alon Sharma, Kavita London, Yosef Barrera, David Sales, Salvador Zadok, Avi Faculty of Engineering and Institute for Nano-Technology and Advanced Materials Bar-Ilan University Ramat-Gan5290002 Israel Department of Computer Science and Applied Mathematics Weizmann Institute of Science Rehovot7610001 Israel Currently with Applied Physics Division Soreq NRC Yavne81800 Israel Photonics Research Labs Universitat Politècnica de València Valencia46022 Spain

Forward Brillouin point sensing is demonstrated in a multi-core fiber. Acoustic waves are stimulated by light in one core and monitored using a grating in another. Measurements distinguish between ethanol and water ou... 详细信息

ISBN: (纸本)9781957171142

关键词： Effective refractive index Fiber optic sensors Forward scattering Multicore fibers Phase modulation Tunable diode lasers

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Coddora: CO2-Based Occupancy Detection Model Trained via Domain Randomization

Coddora: CO2-Based Occupancy Detection Model Trained via Dom...

引用

International Joint Conference on Neural Networks (IJCNN)

作者： Manuel Weber Farzan Banihashemi Davor Stjelja Peter Mandl Ruben Mayer Hans-Arno Jacobsen Department of Computer Science and Mathematics Munich University of Applied Sciences (HM) Munich Germany Chair of Energy Efficient and Sustainable Design and Building Technical University of Munich Germany Department of Mechanical Engineering Aalto University Espoo Finland Faculty of Mathematics Physics and Computer Science University of Bayreuth Germany Department of Electrical and Computer Engineering University of Toronto Canada

ISBN: (数字)9798350359312

ISBN: (纸本)9798350359329

Information about human presence in indoor spaces is crucial for building energy optimization. While there has been a considerable amount of research on using neural networks to automatically detect occupancy from CO2 sensors, their application in practice is limited due to the scarcity of labeled training data. In this paper, we propose Coddora, an off-the-shelf deep learning model pretrained on data from randomized room simulations. Coddora enables quick adaptation to real-world rooms, requiring only minimal data collection. Our contribution includes two model variants for application via fine-tuning or zero-shot classifying, as well as the synthetic dataset providing data from simulations with 100,000 room models.

关键词： Training Adaptation models Accuracy Buildings Neural networks Transfer learning Training data

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