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Implications of the electron-phonon coupling in CuPb9(PO4)6O for superconductivity: An ab initio study

Physical Review Materials 2024年第1期8卷 L011801-L011801页

作者： Hari Paudyal Michael E. Flatté Durga Paudyal Department of Physics and Astronomy University of Iowa Iowa City Iowa 52242 USA Ames National Laboratory of the US DOE Iowa State University Ames Iowa 50011 USA Department of Applied Physics Eindhoven University of Technology Eindhoven 5612 AZ The Netherlands Department of Electrical and Computer Engineering Iowa State University Ames Iowa 50011 USA

We report ab initio calculations of the electronic and vibrational properties in CuPb9(PO4)6O, including the electron-phonon coupling strength via strong-coupling Migdal-Eliashberg theory. We verify the presence of appealing flat electronic bands near the Fermi level, a strong hybridization between the Cu 3d and O 2p states, and soft low-energy phonons, which can suggest high-temperature superconducting behavior. However, the electron-phonon coupling strength appears insufficient to overcome the Coulomb repulsion between an electron pair and thus does not support high-temperature superconductivity in CuPb9(PO4)6O via the conventional electron-phonon Migdal-Eliashberg mechanism. Even neglecting Coulomb repulsion of the electron pair we find this electron-phonon coupling suggests a superconducting transition temperature of less than 2 K.

关键词： Electron-phonon coupling Electronic structure Phonons Superconductivity Density functional theory Eliashberg theory

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Predicting Coronary Heart Disease Through Machine Learning Algorithms 3rd

Predicting Coronary Heart Disease Through Machine Learning A...

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3rd International Conference on Innovations in Computing Research, ICR 2024

作者： Mariettou, Savina Koutsojannis, Constantinos Triantafillou, Vassilios Electrical and Computer Engineering Department University of Peloponnese Patras Greece Health Physics and Computational Intelligence Lab Physiotherapy Department School of Health Rehabilitation Sciences University of Patras Patras Greece Network Technologies and Digital Transformation Lab Electrical and Computer Engineering Department University of Peloponnese Patras Greece

ISBN: (纸本)9783031655210

Machine learning has gained popularity in medical fields due to the increasing availability of health data and the improvement of machine learning algorithms. It can be used to create predictive models that diagnose diseases, predict disease progression, tailor treatment to individual patient needs, and improve the functioning of medical systems. The right use of data can have a positive impact on improving the quality of patient care, reducing healthcare costs, and creating tailored and effective medical approaches. The healthcare sector benefits greatly from the accurate interpretation of medical data as it contributes to the early prediction of diseases in patients. Early detection of a disease can help control the symptoms and provide the correct treatment. In our work, we analyzed actual measurements from the Framingham Heart Study and we created a medical database with 78001 records. Our ultimate goal is to develop an expert Artificial Intelligence system and an Artificial Neural Network that can predict the development of coronary heart disease by employing intelligent knowledge-mining algorithms. We have created two intelligent systems that predict the progression of coronary heart disease using machine learning algorithms such as Random Forest, Decision Trees and Neural Networks. In our experimental analysis, the Decision Tree and Neural Network achieved an accuracy of 90.08% and 84.56% respectively. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

关键词： Neural networks

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Non-Volatile reconfigurable transmissive notch filter using wide bandgap phase change material antimony sulfide

Non-Volatile reconfigurable transmissive notch filter using ...

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CLEO: Science and Innovations in CLEO 2024, CLEO: S and I 2024 - Part of Conference on Lasers and Electro-Optics

作者： Tara, Virat Chen, Rui Froech, Johannes Fang, Zhuoran Fang, Jie Majumdar, Arka Department of Electrical and Computer Engineering University of Washington SeattleWA98195 United States Department of Physics University of Washington SeattleWA98195 United States

We experimentally demonstrate an electrically tunable notch filter. We observe a quality factor up to ~200 and demonstrate reversible tuning of a large volume (4.5 μm3) of Sb2S3 with resonance wavelength shift ~4 nm.... 详细信息

关键词： Notch filters

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Knowledge-Driven Possibilistic Clustering with Automatic Cluster Elimination

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computers, Materials & Continua 2024年第9期80卷 4917-4945页

作者： Xianghui Hu Yiming Tang Witold Pedrycz Jiuchuan Jiang Yichuan Jiang The School of Computer Science and Engineering Southeast UniversityNanjing211189China The School of Computer and Information Hefei University of TechnologyHefei230601China The Department of Electrical and Computer Engineering University of AlbertaEdmontonAB T6R 2V4Canada The Systems Research Institute Polish Academy of SciencesWarsaw00-901Poland The School of Information Engineering Nanjing University of Finance and EconomicsNanjing210023China

Traditional Fuzzy C-Means(FCM)and Possibilistic C-Means(PCM)clustering algorithms are data-driven,and their objective function minimization process is based on the available numeric ***,knowledge hints have been introduced to formknowledge-driven clustering algorithms,which reveal a data structure that considers not only the relationships between data but also the compatibility with knowledge ***,these algorithms cannot produce the optimal number of clusters by the clustering algorithm itself;they require the assistance of evaluation ***,knowledge hints are usually used as part of the data structure(directly replacing some clustering centers),which severely limits the flexibility of the algorithm and can lead to *** solve this problem,this study designs a newknowledge-driven clustering algorithmcalled the PCM clusteringwith High-density Points(HP-PCM),in which domain knowledge is represented in the form of so-called high-density ***,a newdatadensitycalculation function is *** Density Knowledge Points Extraction(DKPE)method is established to filter out high-density points from the dataset to form knowledge ***,these hints are incorporated into the PCM objective function so that the clustering algorithm is guided by high-density points to discover the natural data ***,the initial number of clusters is set to be greater than the true one based on the number of knowledge ***,the HP-PCM algorithm automatically determines the final number of clusters during the clustering process by considering the cluster elimination *** experimental studies,including some comparative analyses,the results highlight the effectiveness of the proposed algorithm,such as the increased success rate in clustering,the ability to determine the optimal cluster number,and the faster convergence speed.

关键词： Fuzzy C-Means(FCM) possibilistic clustering optimal number of clusters knowledge-driven machine learning fuzzy logic

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Free-Space Ultrahigh-Q Mode Resonances at Visible Wavelength with an Etch-Free Metasurface

Free-Space Ultrahigh-Q Mode Resonances at Visible Wavelength...

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CLEO: Fundamental Science, CLEO:FS 2024 - Part of Conference on Lasers and Electro-Optics, CLEO 2024

作者： Fang, Jie Chen, Rui Sharp, David Munley, Christopher Majumdar, Arka Department of Electrical and Computer Engineering University of Washington SeattleWA98195 United States Department of Physics University of Washington SeattleWA98195 United States

ISBN: (纸本)9781957171395

We experimentally demonstrate a free-space resonance quality (Q) factor of 2.09×104 at 778 nm wavelength with an etch-free metasurface. The guided-mode-resonance nature is studied via energy-momentum spectroscopy, showing the full-visible-spectrum accessibility of our ultrahigh-Q resonances. © 2024 The Author(s) © Optica Publishing Group 2024.

关键词： Cavity quantum electrodynamics Chemical vapor deposition Q factor Rigorous coupled wave analysis Tunable lasers Waveguide modes

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Scalable high-repetition-rate sub-half-cycle terahertz pulses from spatially indirect interband transitions

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Light(Science & Applications) 2022年第6期11卷 1304-1311页

作者： Christian Meineke Michael Prager Johannes Hayes Qiannan Wen Lukas Zheyi Kastner Dieter Schuh Kilian Fritsch Oleg Pronin Markus Stein Felix Schafer Sangam Chatterjee Mackillo Kira Rupert Huber Dominique Bougeard Department of Physics University of Regensburg93040 RegensburgGermany Department of Electrical Engineering and Computer Science University of MichiganAnn ArborMl 48109USA Faculty of Electrical Engineering Helmut Schmidt University22043 HamburgGermany Institute of Experimental Physics I Justus Liebig University Giessen35392 GiessenGermany

Intense phase-locked terahertz(THz)pulses are the bedrock of THz lightwave electronics,where the carrier field creates a transient bias to control electrons on sub-cycle time *** applications such as THz scanning tunnelling microscopy or electronic devices operating at optical clock rates call for ultimately short,almost unipolar waveforms,at megahertz(MHz)repetition ***,we present a flexible and scalable scheme for the generation of strong phase-locked THz pulses based on shift currents in type-ll-aligned epitaxial semiconductor *** measured THz waveforms exhibit only 0.45 optical cycles at their centre frequency within the full width at half maximum of the intensity envelope,peak fields above 1.1 kVcm^(-1) and spectral components up to the mid-infrared,at a repetition rate of 4 *** only positive half-cycle of this waveform exceeds all negative half-cycles by almost four times,which is unexpected from shift currents *** detailed analysis reveals that local charging dynamics induces the pronounced positive THz-emission peak as electrons and holes approach charge neutrality after separation by the optical pump pulse,also enabling ultrabroadband *** unipolar emitters mark a milestone for flexibly scalable,next-generation high-repetition-rate sources of intense and strongly asymmetric electric field transients.

关键词： pump repetition cycle

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Non-Volatile reconfigurable transmissive notch filter using wide bandgap phase change material antimony sulfide

Non-Volatile reconfigurable transmissive notch filter using ...

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2024 Conference on Lasers and Electro-Optics, CLEO 2024

ISBN: (纸本)9781957171395

关键词： Notch filters

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Tunable and wideband high-performance rare earth-doped Ni-Mg-Cu-Zn nano ferrite-based meta-absorbers for C-band application

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Journal of Rare Earths 2025年第1期43卷 124-132,I0005页

作者： Majid Niaz Akhtar Magbool Alelyani Fatimah Mohammed AAlzahrani Abdullah Almohammedi Sabih Qamar MABaqir MIrfan Muhammad Azhar Khan Kheir SAlbarkaty ZAAlrowaili MSAl-Buriahi Institute of Physics The Islamia University of Bahawalpur63100BahawalpurPakistan Department of Radiological Sciences College of Applied Medical ScienceKing Khalid University61421bhaSaudi Arabia Department of Chemistry College of SciencePrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabi Department of Physics Faculty of ScienceIslamic University of Madinah42352.Saudi Arabia Department of Chemical Engineering Muhammad Nawaz Sharif University of Engineering and Technology(MNSUET)60000MultanPakistan Department of Electrical and Computer Engineering COMSATS University IslamabadSahiwal Campus57000Pakistan Department of Physics Umm Al-Qura UniversityMakkah24382Saudi Arabia Department of Physics College of ScienceJouf UniversityP.O.Box:201474331SakakaSoudi Arabia Department of Physics Sakarya University6900SakaryaTurkey

Due to advanced technology,electromagnet interference and dissipation problems in the electronic and portable devices at GHz range are increasing *** absorbing materials with outstanding electromagnetic properties,wide bandwidth,and strong absorption are highly *** present investigation deals with the preparation of Ni-Mg-Cu-Zn(NMCZ)substituted nano ferrites with composition of Ni_(0.3)Mg_(0.2)Cu_(0.3)Zn_(0.2)X_(0.02)Fe_(1.98)O_(4)(X=Nd,Ho,Pr,Gd,Yb).X-ray diffraction(XRD),Fourier transform infrared spectroscopy(FTIR),field emission scanning electron microscopy(FESEM),transmission electron microscopy(TEM),a vibratory sample magnetometer(VSM),and a Vector network analyzer(VNA)were used to investigate these rare earth-doped nanocrystalline ferrites'*** reveals the single spinel phase structure in all Ni-Mg-Cu-Zn *** spectroscopy shows the presence of tetrahedral and octahedral bands of spinel *** images reveal the lowest agglomeration for the Ho-doped NMCZ nano-spinel ferrites *** images show the hexagon shapes of the Yb-and Nd-doped NMCZ ***-doped NMCZ ferrites show more coercivity than other rare earth metals substituted NMCZ nanocrystalline *** analysis was used to calculate the magnetic features like initial permeability,magnetic anisotropy constant,remanence,coercivity,and magnetic ***-frequency switching field distributions(SFD)analyses were also *** characteristics such as losses,permittivity,modulus,Q,ac conductivity,and impedance of the Nd^(-),Ho^(-),Pr^(-),Gd^(-),Yb-doped Ni-Mg-Cu-Zn ferrites were *** minimum reflection loss(-57.3 dB)is found at 1.4 GHz for Pr-doped Ni-Mg-Cu-Zn ferrite ***,the reflection loss(RL)of-53.9 dB at 2.9 GHz is observed for Ho-doped Ni-Mg-Cu-Zn ferrite *** magnetization,low coercivity,outstanding magnetodielectric,and absorption properties of theNd^(-),Ho^(-),Pr^(-),Gd^(-)and Yb^(-)doped Ni-Mg

关键词： Rare earths Reflection loss Cubic phase Magnetodielectric Ni-Mg-Cu-Zn(NMCZ)meta-absorber

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Self-Hybridized Quasi-Bound State in the Continuum in Perovskite Metasurfaces

Self-Hybridized Quasi-Bound State in the Continuum in Perovs...

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2024 Conference on Lasers and Electro-Optics, CLEO 2024

作者： Kala, Abhinav Fang, Jie Johnson, Rose Chen, Rui Chang, Cheng Munley, Christopher Sharp, David Lin, Lih Y. Majumdar, Arka Department of Electrical and Computer Engineering University of Washington SeattleWA98195 United States Department of Physics University of Washington SeattleWA98195 United States

ISBN: (纸本)9781957171395

Self-hybridized exciton-polaritons in solid-state systems are interesting as they overcome the limitations of hybrid integration. Here, we present the design and experimental demonstration of self-hybridized quasi-bound state in continuum polaritons in a FAPbBr3 perovskite metasurface. © Optica Publishing Group 2024, © 2024 The Author(s)

关键词： Laser excitation

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Real space characterization of nonlinear hall effect in confined directions

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npj Computational Materials 2024年第1期10卷 2829-2835页

作者： Sheng Luo Chuang-Han Hsu Guoqing Chang Arun Bansil Hsin Lin Gengchiau Liang Department of Electrical and Computer Engineering National University of SingaporeSingapore 117576Singapore Institute of Physics Academia SinicaTaipei 11529Taipei Division of Physics and Applied Physics School of Physical and Mathematical SciencesNanyang Technological UniversitySingaporeSingapore Department of Physics Northeastern UniversityBostonMA 02115USA Industry Academia Innovation School National Yang-Ming Chiao Tung UniversityHsinchu City 300093Taipei

The nonlinear Hall effect(NLHE)is a phenomenon which could produce a transverse Hall voltage in a time-reversal-invariant ***,we report the real space characterizations of NLHE evaluated through quantum transport in TaIrTe4 nanoribbon without the explicit Berry curvature dipole(BCD)*** first characterize the NLHE in both transverse confined directions in global-level *** impact of quantum confinement in NLHE is evaluated by adjusting the width of ***,the probing area is trimmed to the atomic scale to evaluate the local texture,where we discover its patterns differ among the probed neighboring atomic *** analysis of charge distribution reveals the connections between NLHE’s local patterns and its non-centrosymmetric nature,rendering nearly an order of Hall voltage enhancement through probe *** work paves the way to expand the range of NLHE study and unveil its physics in more versatile material systems.

关键词： directions nonlinear confined

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