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arXiv 2021年

作者： Chang, Yutian Liu, Guannan Zuo, Yuan Wu, Junjie School of Economics and Management Beijing Advanced Innovation Center for Big Data and Brain Computing Beihang University Beijing100191 China Beijing Key Laboratory of Emergency Support Simulation Technologies for City Operations Beihang University

Recent years have witnessed the tremendous research interests in network embedding. Extant works have taken the neighborhood formation as the critical information to reveal the inherent dynamics of network structures, and suggested encoding temporal edge formation sequences to capture the historical influences of neighbors. In this paper, however, we argue that the edge formation can be attributed to a variety of driving factors including the temporal influence, which is better referred to as multiple aspects. As a matter of fact, different node aspects can drive the formation of distinctive neighbors, giving birth to the multi-aspect embedding that relates to but goes beyond a temporal scope. Along this vein, we propose a Mixture of Hawkes-based Temporal Network Embeddings (MHNE) model to capture the aspect-driven neighborhood formation of networks. In MHNE, we encode the multi-aspect embeddings into the mixture of Hawkes processes to gain the advantages in modeling the excitation effects and the latent aspects. Specifically, a graph attention mechanism is used to assign different weights to account for the excitation effects of history events, while a Gumbel-Softmax is plugged in to derive the distribution over the aspects. Extensive experiments on 8 different temporal networks have demonstrated the great performance of the multi-aspect embeddings obtained by MHNE in comparison with the state-of-the-art methods. Copyright © 2021, The Authors. All rights reserved.

关键词： Network embeddings

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Analysis of Tcc + including chiral dynamics and three-body cuts 10

Analysis of Tcc + including chiral dynamics and three-body c...

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10th International Workshop on Chiral Dynamics, CD 2021

作者： Du, Meng-Lin Baru, Vadim Dong, Xiang-Kun Filin, Arseniy Guo, Feng-Kun Hanhart, Christoph Nefediev, Alexey Nieves, Juan Wang, Qian Institutos de Investigación de Paterna Apartado 22085 Valencia46071 Spain Institut für Theoretische Physik II Ruhr-Universität Bochum BochumD-44780 Germany Institute for Theoretical and Experimental Physics NRC "Kurchatov Institute" Moscow117218 Russia CAS Key Laboratory of Theoretical Physics Institute of Theoretical Physics Chinese Academy of Sciences Beijing100190 China School of Physical Sciences University of Chinese Academy of Sciences Beijing100049 China Institute for Advanced Simulation Institut für Kernphysik Jülich Center for Hadron Physics Forschungszentrum Jülich JülichD-52425 Germany P.N. Lebedev Physical Institute the Russian Academy of Sciences Leninskiy Prospect 53 Moscow119991 Russia Guangdong Provincial Key Laboratory of Nuclear Science Institute of Quantum Matter South China Normal University Guangzhou510006 China Institute of High Energy Physics Chinese Academy of Sciences Beijing100049 China Guangdong-Hong Kong Joint Laboratory of Quantum Matter Southern Nuclear Science Computing Center South China Normal University Guangzhou510006 China

A coupled-channel approach is applied to the charged tetraquark state Tcc+ with special attention paid to the three-body dynamics. The three-body unitarity is preserved as both the pion exchange between the D and D∗ mesons and the finite D∗ width are taken into account simultaneously. The low-energy scattering parameters, namely the scattering length and effective range are extracted with a low-energy expansion of the D∗D scattering amplitude. The compositeness parameter is calculated and is found to be close to unity, which implies a molecular nature of the Tcc+ . By making use of the heavy-quark spin symmetry, an isoscalar D∗D∗ molecular partner of the Tcc+ with JP = 1+ is predicted under the assumption that the D∗D-D∗D∗ coupled-channel effects can be neglected. © Copyright owned by the author(s) under the terms of the Creative Commons.

关键词： Hadrons

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Ultrafast light-induced magnetization in non-magnetic films: from orbital and spin Hall phenomena to the inverse Faraday effect

arXiv

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arXiv 2023年

作者： Hamamera, Hanan Guimarães, Filipe Souza Mendes dos Santos Dias, Manuel Lounis, Samir Peter Grünberg Institut Institute for Advanced Simulation Forschungszentrum Jülich JARA Jülich52425 Germany Department of Physics RWTH Aachen University Aachen52056 Germany Jülich Supercomputing Centre Forschungszentrum Jülich JARA Jülich52425 Germany Faculty of Physics University of Duisburg-Essen CENIDE Duisburg47053 Germany Scientific Computing Department STFC Daresbury Laboratory WarringtonWA4 4AD United Kingdom

The field of orbitronics has emerged with great potential to impact information technology by enabling environmentally friendly electronic devices. The main electronic degree of freedom at play is the orbital angular momentum, which can give rise to a myriad of phenomena such as the orbital Hall effect (OHE), torques and orbital magnetoelectric effects. Here, we explore via realistic time-dependent electronic structure simulations the magnetic response of a non-magnetic material, an ultrathin Pt film, to ultrafast laser pulses of different polar-izatons and helicities. We demonstrate the generation of significant orbital and spin magnetizations and identify the underlying mechanisms consisting of the interplay of the OHE, inverse Faraday effect and spin-orbit interaction. Our discoveries advocate for the prospect of encoding magnetic information using light in materials that are not inherently magnetic. © 2023, CC BY.

关键词： Magnetization

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Noncollinear magnetism in two-dimensional CrTe2

arXiv

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arXiv 2022年

作者： Abuawwad, Nihad dos Santos Dias, Manuel Abusara, Hazem Lounis, Samir Peter Grünberg Institut Institute for Advanced Simulation Forschungszentrum Jülich & JARA Jülich52425 Germany Faculty of Physics University of Duisburg-Essen Duisburg47053 Germany Department of Physics Birzeit University PO Box 14 Birzeit Palestine Scientific Computing Department STFC Daresbury Laboratory WarringtonWA4 4AD United Kingdom

The discovery of two-dimensional (2D) van der Waals magnets opened unprecedented opportunities for the fundamental exploration of magnetism in quantum materials and the realization of next generation spintronic devices. Here, based on a multiscale modelling approach that combines first-principles calculations and a Heisenberg model supplied with ab-initio parameters, we report a strong magnetoelastic coupling in a free-standing monolayer of CrTe2. We demonstrate that different crystal structures of a single CrTe2 give rise to non-collinear magnetism through magnetic frustration and emergence of the Dzyaloshinskii-Moriya interaction (DMI). Utilizing atomistic spin dynamics, we perform a detailed investigation of the complex magnetic properties pertaining to this 2D material impacted by the presence of various types of structural distortions akin to charge density waves. © 2022, CC BY.

关键词： Calculations

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A Novel Method for Detection of ECG with Deep Learning

A Novel Method for Detection of ECG with Deep Learning

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International Conference on Computer and Communications (ICCC)

作者： Haiyan Wang Yanjie Zhou Bing Zhou Zongmin Wang State Key Laboratory of Mathematical Engineering and Advanced Computing Simulation Experiment Centre Zhengzhou University of Aeronautics Collaborative Innovation Centre for Internet Healthcare Zhengzhou University Zhengzhou China School of Management Engineering Zhengzhou University Zhengzhou China Collaborative Innovation Centre for Internet Healthcare Zhengzhou University Zhengzhou China School of Information Engineering Zhengzhou University Zhengzhou China State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou University Zhengzhou China

ISBN: (纸本)9781665409513

With the rapid development of machine learning and deep learning, ECG intelligent detection models lean more heavily on the labeled data. However, the development of ECG annotation cannot satisfy the development of an intelligent detection model because of its high complexity and heavy workload. Developing a model with low dependence on labeled data becomes the core for solving the ECG intelligent detection. To overcome this limitation, this paper proposes a deep active learning (DAL) model for ECG intelligent detection, which combines high-performance deep learning (DL) with active learning (AL) that is less dependent on labeled data. Experimental results show that the proposed method can achieve high performance with the support of a small amount of labeled data. The proposed method could be adopted for data annotation, which achieves a high-quality data annotation and avoids useless annotation.

关键词： Deep learning Machine learning algorithms Annotations Electrocardiography Rhythm Data models Complexity theory

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Revealing the nature of hidden charm pentaquarks with machine learning

arXiv

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arXiv 2023年

作者： Zhang, Zhenyu Liu, Jiahao Hu, Jifeng Wang, Qian Meißner, Ulf-G Guangdong Provincial Key Laboratory of Nuclear Science Institute of Quantum Matter South China Normal University Guangzhou510006 China Guangdong-Hong Kong Joint Laboratory of Quantum Matter Southern Nuclear Science Computing Center South China Normal University Guangzhou510006 China Helmholtz-Institut für Strahlen- und Kernphysik Bethe Center for Theoretical Physics Universität Bonn BonnD-53115 Germany Institute for Advanced Simulation Institut für Kernphysik Jülich Center for Hadron Physics Forschungszentrum Jülich JïlichD-52425 Germany Tbilisi State University Tbilisi0186 Georgia

We study the nature of the hidden charm pentaquarks, i.e. the Pc(4312), Pc(4440) and Pc(4457), with a neural network approach in pionless effective field theory. In this framework, the normal χ2 fitting approach cannot distinguish the quantum numbers of the Pc(4440) and Pc(4457). In contrast to that, the neural network-based approach can discriminate them, which still cannot be seen as a proof of the spin of the states since pion exchange is not considered in the approach. In addition, we also illustrate the role of each experimental data bin of the invariant J/ψp mass distribution on the underlying physics in both neural network and fitting methods. Their similarities and differences demonstrate that neural network methods can use data information more effectively and directly. This study provides more insights about how the neural network-based approach predicts the nature of exotic states from the mass spectrum. Copyright © 2023, The Authors. All rights reserved.

关键词： Hadrons

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Accurate ECG Data Generation with a Simple Generative Adversarial Network 2

Accurate ECG Data Generation with a Simple Generative Advers...

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2nd International Conference on Artificial Intelligence and Computer Science, AICS 2020

作者： Wang, Haiyan Ge, Zhaoyang Wang, Zongmin Collaborative Innovation Centre for Internet Healthcare Zhengzhou University 75 Daxue Road Zhengzhou450052 China State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou450003 China Simulation Experiment Centre Zhengzhou University of Aeronautics Zhengzhou450046 China School of Information Engineering Zhengzhou University Zhengzhou450001 China

Since ECG data is highly sensitive medical data, the acquisition of ECG data is highly restricted. However, with the increasing demand for ECG big data research, the improvement of computer computing capabilities, and the development of deep learning, the direction of ECG intelligent analysis is facing a serious lack of standard clinical data. In order to generate more precise ECG data, this paper proposes a GAN architecture for generating ECG heartbeat data. The network structure is simple and does not require any domain knowledge. In this paper, the MIT-BIH Arrhythmia database is selected, from which all left bundle branch block heartbeats are selected to form a training dataset. The training process shows that the proposed GAN structure is effective and accurate, and the generated results show that not only the generated simulated ECG heartbeat data is diverse, but also highly similar to the real data. © Published under licence by IOP Publishing Ltd.

关键词： Electrocardiograms

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Optical dispersions through intracellular inhomogeneities

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Physical Review Research 2023年第2期5卷 L022043-L022043页

作者： Masaki Watabe Yasuhiro Hirano Atsuko Iwane Osamu Matoba Koichi Takahashi Laboratory for Biologically Inspired Computing RIKEN Center for Biosystems Dynamics Research Suita Osaka 565-0874 Japan Cell Modeling and Simulation Group Exploratory Research Center on Life and Living Systems Okazaki Aichi 444-8787 Japan Interdisciplinary Research Unit National Institute of Basic Biology Okazaki Aichi 444-8585 Japan Nuclear Dynamics Group Graduate School of Frontier Biosciences Osaka University Suita Osaka 565-0871 Japan Laboratory for Cell Field Structure RIKEN Center for Biosystems Dynamics Research Higashi-Hiroshima Hiroshima 739-0046 Japan The Graduate School of System Informatics Kobe University Kobe Hyogo 657-8501 Japan Institute for Advanced Bioscience Keio University Fujisawa Kanagawa 252-8520 Japan

The transport of intensity equation (TIE) exhibits a noninterferometric correlation between the intensity and phase variations of intermediate fields (e.g., light and electrons) in biological imaging. Previous TIE formulations have generally assumed free-space propagation of monochromatic, coherent field functions crossing phase distributions along a longitudinal direction. In this study, we modify the TIE with fractal (or self-similar) organization models based on intracellular refractive index turbulence. We then implement TIE simulations over a broad range of fractal dimensions and wavelengths. simulation results show how the intensity propagation through the spatial fluctuation of intracellular refractive index interconnects fractal dimensionality with intensity dispersion (or transmissivity) within the picometer to micrometer wavelength range. Additionally, we provide a spatial autocorrelation of phase derivatives, which allows for the direct measurement and reconstruction of intracellular fractal profiles from optical and electron microscopy imaging.

关键词： Biological optics Classical optics Organelle Electron microscopy Finite-element method Optical microscopy

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Nonequilibrium cavity QED model accounting for dipole-dipole interaction in strong-, ultrastrong-, and deep-strong-coupling regimes

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Physical Review A 2020年第1期102卷 013701-013701页

作者： Asha Devi Sarath D. Gunapala Mark I. Stockman Malin Premaratne Advanced Computing and Simulation Laboratory Department of Electrical and Computer Systems Engineering Monash University Clayton Victoria 3800 Australia Jet Propulsion Laboratory California Institute of Technology Pasadena California 91109 USA Department of Physics and Astronomy Georgia State University Atlanta Georgia 30303 USA

We propose a generalized system of nonequilibrium cavity QED with interacting dipoles coupled to a single-mode of an electromagnetic field in strong-, ultrastrong-, and deep-strong-coupling regimes. To illustrate the applicability of the system, an extended Dicke model is developed for atoms undergoing Raman transitions between the ground states in the presence of laser fields and considering dipole-dipole interactions; the latter has been neglected in many previous works. We have studied the effect of a ferroelectric and an antiferroelectric arrangement on the phase transition for both a finite and an infinite number of dipoles. An additional superradiant phase is observed in the deep-strong-coupling regime due to influence of the dipole-dipole interaction term. A high degree of dipole-dipole entanglement occurs for the antiferroelectric arrangement in the deep-strong regime, whereas it gets disentangled quite rapidly for the ferroelectric arrangement. A sharp transition of system parameters is observed in the ultrastrong-coupling regime and beyond. The dipole-dipole interaction also influences the spectra of the system, inducing a significant shift in the peaks, and modifies the average number of photons emitted.

关键词： Atoms, ions, & molecules in cavities Cavity quantum electrodynamics Nanophotonics

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Optically controlled quantum thermal gate

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Physical Review B 2020年第24期101卷 245402-245402页

作者： Ravi T. Wijesekara Sarath D. Gunapala Mark I. Stockman Malin Premaratne Advanced Computing and Simulation Laboratory(AχL) Department of Electrical and Computer Systems Engineering Monash University Clayton Victoria 3800 Australia Jet Propulsion Laboratory California Institute of Technology Pasadena California 91109 USA Department of Physics and Astronomy Georgia State University Atlanta Georgia 30303 USA

The ability to actively control heat flows in the nanoscale can open up a plethora of opportunities for applications that require thermal management and regulation. We show that it is possible to build a three-terminal quantum thermal gating device which regulates the thermal conductivity between two of its terminals in response to light incident upon the remaining terminal. We model our device as three mutually coupled two-level systems which interact thermally and optically with their environment. To incorporate the thermal interactions of our device, we adopt an open quantum systems framework under the Born-Markov approximation. We subsequently use detailed quantum mechanical state analysis to illustrate its operating principle. Through numerical simulations, we further explore the nonlinear relationship between the optical field amplitude and the thermal conductivity of the device in the steady-state regime. Based on our investigations, we find that the energy-gating behavior of our device is highly efficient in that it can control a significantly larger thermal energy flow compared to the amount of energy it absorbs from the optical field in the process. The approach we have taken to analyze the system, in particular the graphical representations we developed to intuitively and concisely represent the quantum states, energy flows, and the relationships between them, could be of value in analyzing other similar thermo-optical systems. Thus, we envision that both the device concept and its analysis technique would be useful to researchers working in this area.

关键词： Electronic transitions Open quantum systems Thermal properties Transistors

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