bluuebunny/crossref_metadata_2025_split huggingface dataset:
High-performance solar-blind ultraviolet photodetector arrays based on two-inch ϵ-Ga2O3 films for imaging applications
Authors: Yang Yuxia , Han Dongyang , Wu Simiao , Lin Haobo , Zhang Jianguo , Zhang Wenrui , Ye Jichun 
Published: December 2024

Abstract
To achieve high-quality solar-blind ultraviolet (UV) imaging applications based on ultrawide bandgap semiconductor photodetectors, it is crucial to fabricate highly uniform wafer-scale films. In this work, we demonstrate the fabrication of exceptionally uniform two-inch ϵ-Ga2O3 thin films on sapphire substrates using an off-axis pulsed laser deposition method. The two-inch ϵ-Ga2O3 films exhibit remarkable uniformity across key parameters, including thickness, crystalline quality, bandgap, and surface roughness, with an inhomogeneity ratio less than 5%. Additionally, these films are preferentially oriented along the (001) crystal plane. At 20 V bias, the individual ϵ-Ga2O3 photodetector demonstrates outstanding solar-blind UV photodetection performance, with a responsivity of 52.77 A W−1 at 240 nm, an external quantum efficiency of 2.7 × 104%, a dark current of 5.5 × 10−11 A and a UV–visible rejection ratio of 1.2 × 104. Furthermore, the 10 × 10 photodetector arrays fabricated on two-inch ϵ-Ga2O3 films exhibit highly uniform photodetection performance, with photocurrent deviations remaining within one order of magnitude and a maximum standard deviation of ∼8%. High-contrast optical imaging of the letters of ‘NIMTE’ is successfully achieved using the 10 × 10 photodetector arrays. This work provides valuable insights for fabricating wafer-scale uniform ϵ-Ga2O3 films and achieving high-quality solar-blind UV imaging applications.
Coexistence of Kondo effect and non trivial Berry phase in Gd doped Bi2Se3: an ARPES and magneto-transport study
Authors: Ghosh Swayangsiddha , Singh Rahul , Dixit Srishti , Kumar Shiv , Kumar Yogendra , Shimada Kenya , Kumar Ghosh Anup , Lakhani Archana , Chatterjee Sandip 
Published: December 2024

Abstract
The presence of magnetic impurities in topological insulators can disrupt their time reversal symmetry and lead to the emergence of an energy gap. This study delves into the energy band structure and the Kondo effect through the introduction of Gadolinium (Gd) magnetic perturbations (at levels of

x
=
0.1
,
0.16

) into a pure Bi2Se3 single crystal. In the case of the Bi1.9Gd0.1Se3 (5%) single crystal, the Kondo effect becomes observable at temperatures below 50 K. However, the unaltered parent and Bi1.84Gd0.16Se3 (8%) exhibit typical metallic behavior. The pure sample displays the highest magnetoresistance (MR) of around 225% and demonstrates quantum oscillations driven by a nontrivial berry phase. The sample doped with 5% Gd undergoes a transition from negative MR to positive MR due to a presence of mixed magnetic state resulting from the opening of a gap at the Dirac point. This gap opening is confirmed through angle-resolved photoemission spectroscopy (ARPES) measurements. The comparison of the parameters obtained from the SdH and ARPES measurements, the reduction in the

k

F

values in the magnetotransport measurements is likely due to the band bending induced by the Schottky barrier. Thermoelectric properties are assessed across all prepared samples. The undoped sample displays the highest Seebeck coefficient and power factor values of

−
398.02
μ

V K

−
1

and

6.83

mW

mK

−
2

, respectively, at room temperature. These values are notably high for thermoelectric applications at room temperature.
Modeling of oriented growth of YBCO film deposited by MOD on STO substrate
Authors: Angelis Michele De , Pinto Valentina , Celentano Giuseppe , Tomellini Massimo 
Published: December 2024

Abstract
In this work, we present experimental data on the chemical solution deposition of superconducting YBa2Cu3O7−δ
(YBCO) films by the low fluorine metal–organic decomposition technique. The growth of YBCO film on SrTiO3 (STO) single crystal has been studied with particular attention to the degree of crystal orientation, along either the a or c axes, by varying the crystallization temperature and water partial pressure. The experimental data have been interpreted using a model based on the thermodynamics and kinetics of YBCO nucleation at solid surfaces. In the present form, the model has been reformulated to be more versatile for describing kinetic data. In addition, the description of the experimental data through the model requires considering the composition of Barium oxyfluoride as a function of water partial pressure, the adhesion work of YBCO/STO interface, the crystallization temperature and the partial pressure of water. The present study shows that a deeper understanding of the nucleation mechanism can lead to the improvement not only of the YBCO superconducting properties but also of the process robustness and reproducibility.
Wide temperature multi-condition SOC estimation for Li-ion batteries based on F-FOMIAEKF
Authors: Li Junjie , Zhou Jun , Wu Xing , Liu Tao 
Published: December 2024

Abstract
The state of charge (SOC) of the batteries is critical to obtain the operating parameters of the battery system and optimize the control. The mainstream research on SOC estimation is based on the integer order circuit model, and the fractional order impedance model is rarely studied at present. Combined with the shortcomings of the extended Kalman filter (EKF), in this paper, a new adaptive EKF algorithm with a forgetting factor is proposed based on the fractional 2-order model (F-FOMIAEKF), which can accurately estimate the SOC of lithium-ion batteries under wide temperature and multiple operating conditions. In the SOC estimation algorithm, because the new measurement data contributes to enhancing parameter estimation accuracy, the outdated historical data may accumulate errors, resulting in data saturation, so that the estimated value deviates greatly from the actual value. To address this notable issue, this paper integrates the multi-innovation theory within the EKF framework and introduces a forgetting factor to reduce the weight of historical data in the overall data. Simultaneously, the process noise and measurement noise are adaptively adjusted, resulting in the proposed F-FOMIAEKF. The results indicate that the method proposed in this paper can get rid of the limitation that the order of integer order calculus is an integer and can effectively improve the drawback of the low utilization rate of historical data in EKF. Meanwhile, it can accurately reflect the internal state of the power batteries and accurately estimate SOC under wide temperatures and multiple operating conditions.
High-resolution hemodynamic estimation from ultrafast ultrasound image velocimetry using a physics-informed neural network
Authors: Liang Meiling , Liu Jiacheng , Wang Hao , Chu Hanbing , Zhu Mingting , Jiang Liyuan , Zong Yujin , Wan Mingxi 
Published: December 2024

Abstract

Objective. Estimating the high-resolution (HR) blood flow velocity and pressure fields for the diagnosis and treatment of vascular diseases remains challenging. Approach. In this study, a physics-informed neural network (PINN) with a refined mapping capability was combined with ultrafast ultrasound image velocimetry (u-UIV) to predict HR hemodynamic parameters. Specifically, the Navier–Stokes equations were encoded into the PINN to dynamically optimize the network performance under physical constraints, and a refined mapping network was added at the input to achieve data refinement. During the prediction of HR ultrasound hemodynamic parameters, only the sparse spatial coordinates in the time series were input into the PINN, and the velocity vectors generated from the u-UIV were used together with physical residuals to enhance the physical correctness of HR predictions during the iterative process. Main results. The performance of the refined mapping network was validated via simulations, with a 1.9-fold increase in the radial resolution and a 2.5-fold increase in the axial resolution. HR velocity field estimation from in vitro and in vivo data showed good agreement with theoretical values and u-UIV measurements, with micrometer-level spatial resolution (88 µm

×

115 µm for straight vessel, 75 µm

×

120 µm for stenotic vessel and 63 µm × 79 µm for in vivo data), while the pressure field could be inferred from physical laws. Significance. The proposed method performs well when few data samples are available and has the potential to assist in the clinical diagnosis of vascular diseases.
Isotopologue-selective laser cooling of molecules
Authors: Kogel Felix , Garg Tatsam , Rockenhäuser Marian , Morales-Ramírez Sebastián A , Langen Tim 
Published: December 2024

Abstract
Direct laser cooling of molecules has made significant progress in recent years. However, the selective cooling and manipulation of generic molecular samples based on their isotopic composition, which is ubiquitous in atomic laser cooling, has not yet been achieved. Here, we demonstrate such isotopologue-selective laser cooling and near-arbitrary control over the isotopic composition of a molecular beam, using barium monofluoride (BaF) as an example. The manipulation of the rare and previously uncooled

136

BaF

is achieved in the presence of several isotopologues of significantly higher natural abundance. Our results enable intense molecular beams, high fidelity detection and manipulation of select low-abundance isotopologues or isotopic mixtures. Such beams are a first step towards isotopologue-selective molecular trapping and will be useful for applications in trace gas analysis, cold collisions and precision tests of fundamental symmetries.
The simultaneous ground-state cooling and quantum synchronization of two mechanical oscillators via backward Brillouin scattering
Authors: Chen Shan-Shan , Li Ren-Pu , Zhang Jing-Jing , Guo Yong-Rui , Yang Huan , Zhang Na-Na , Ma Yong 
Published: December 2024

Abstract
The simultaneous ground-state cooling and the quantum synchronization of multiple mechanical oscillators are very important in the study of the quantum coherence of the optomechanical system with multiple mechanical modes. In this paper, we propose a scheme for investigating the simultaneous ground-state cooling and the quantum synchronization of two mechanical oscillators based on an optomechanical system via backward stimulated Brillouin scattering. A photon-phonon interaction via the backward stimulated Brillouin scattering process is introduced in this scheme, which is beneficial for cooling the optomechanical system. It is found that simultaneous ground-state cooling and quantum synchronization of two mechanical oscillators can be achieved when a suitable photon-phonon coupling via the backward stimulated Brillouin scattering process is chosen. Quantum synchronization is enhanced with the help of the photon-phonon coupling via the backward stimulated Brillouin scattering process. In addition, the relation between simultaneous ground-state cooling and quantum synchronization is discussed. It turns out that the appearance of simultaneous ground-state cooling is accompanied by quantum synchronization, but simultaneous ground-state cooling may not be realized when quantum synchronization is achieved. Our scheme paves a new way for the control of the quantum properties of the mechanical oscillators based on optomechanical system.
Realization of two-dimensional beam scanning in 0.2 THz band with the combination of frequency sweeping and phased array method
Authors: Wang Kai , Li Chao , Zheng Shen , Fang Guang-you 
Published: December 2024

Abstract
Based on terahertz (THz) waves, the realization of mobile high-speed communication and rapid high-resolution imaging through two-dimensional (2D) electronically controlled beam scanning antennas holds significant research merit. However, accomplishing 2D electronically controlled beam scanning within the THz band poses formidable challenges. This paper presents a novel design methodology for a 2D beam-scanning antenna specifically tailored for the THz frequency range. Operating effectively within 190 GHz–210 GHz, the proposed antenna demonstrates frequency-controlled beam scanning along one dimension, while leveraging phased array technology to achieve phase-controlled beam scanning in the orthogonal dimension. Based on the proposed concept of combining frequency scanning and phased array to realize 2D beam scanning, the 2D electronically controlled beam scanning in the THz band was be ultimately realized in this paper. This antenna holds pivotal application potential in enhancing the acquisition efficiency of THz imaging field of view, augmenting the capability to capture moving targets, and advancing the development of next-generation mobile communication technologies, notably 6 G.
Optimal control and global dynamics of a fractional-order infectious disease model incorporating vaccination and generalized incidence rate
Authors: Xu Conghui , Yu Yongguang , Guo Ke , Ren Guojian , Lu Zhenzhen , Si Xinhui 
Published: December 2024

Abstract
To investigate the transmission dynamics of infectious diseases driven by highly contagious pathogens, we propose a fractional-order model for infectious disease spread. The model encapsulates the isolation and vaccination measures by delineating the dynamics of isolated and vaccinated populations. The dynamic properties of the model are examined through the establishment of the basic reproduction number R
0. By considering the value of R
0 as a critical threshold, we analyze the global asymptotic stability of both the disease-free equilibrium and the endemic equilibrium within the proposed model. Ultimately, vaccination and isolation measures serve to diminish the number of effective contacts between infected and susceptible individuals, thereby leading to a reduction in the infection rate. Consequently, the control parameters are carefully chosen to modulate the infection rate, leading to the formulation of a corresponding fractional optimal control problem (FOCP). Utilize diverse datasets pertaining to the Corona Virus Disease 2019 (COVID-19) to identify the model parameters. The effectiveness of the proposed model in delineating the transmission dynamics of infectious diseases is corroborated through a comprehensive data fitting analysis. Concurrently, utilizing COVID-19 data, the associated theoretical results are numerically validated. Moreover, the FOCP is numerically addressed under various control strategies, offering theoretical insights for the control and prevention of infectious disease transmission.
Photoelectric characteristic of hybrid thin-film solar cells and metasurface absorbers
Authors: Zhu Jun , Lin Sunlong 
Published: December 2024

Abstract
As the demand for high-efficiency, low-cost solar cells continue to increase, existing thin-film solar cells still face many challenges in terms of light absorption efficiency and charge transport performance. To address these issues, we design and study a PEDOT:PSS/CdTe hybrid thin-film solar cell structure combined with a metasurface absorber layer. We use a metasurface structure with a tetragonal embedded ring resonator pattern in the CdTe absorber layer. This structure can produce a strong electric and magnetic field localization effect on the surface of the absorption layer, improving the light absorption rate of the battery. At the same time, the introduction of organic polymer materials (PEDOT: PSS) optimizes the electrode interface quality and reduces the interface defects and composite losses between materials, and further improves the photoelectric conversion efficiency (PCE) of the battery. we introduce traditional absorption enhancement methods (titanium nanoparticle arrays and pyramid TiO2 arrays) to this structure. The solar cell proposed has a spectral response rate of 96.71% and its PCE reaches 35.66%. The research indicates that the new structure holds significant potential for the application of high-efficiency solar cells, offering new ideas for the design and manufacture of solar cells in the future.&#xD;
Magnetic fluid infiltrated microbottle resonator sensor with exceptional point in parity-time symmetry
Authors: Geng Jingtong , Li Yuwei 
Published: December 2024

Abstract
Magnetic field signals contain a large amount of power grid and equipment operation information, which is of great significance for the realization of power system information management. Traditional magnetic sensor has low sensitivity, high cost and large volume, and its application range is limited. To solve this problem, a novel magnetic sensing enhancement method for power systems based on quantum non-Hermitian EP is proposed. First, the natural microfluidic channel of the microbubble whispering gallery mode micro-resonator is used to make the magnetic fluid interact fully with the evanescent field of the echo wall, and the magnetic field intensity is detected by measuring the change of the resonant frequency, the light field distribution of microbottle resonator is also studied. Then, a second order EP energy exchange dynamic equation based on PT symmetry is established, and the sensitivity enhancement of Eigen-frequency splitting to perturbations in quantum mechanics is studied in detail. Finally, theoretical analysis and simulation show that the system can change the resonance frequency shift and the magnetic field intensity into a nonlinear relationship, so that the weak magnetic signal presents 4 orders of magnitude amplification, and the detection limit is at least 0.0001mT. Our solution provides a novel magnetic field strength detection scheme, which has a broad application prospect in the field of new power systems.
Charged anisotropic strange stars in generalized rastall gravity
Authors: Das Krishna Pada , Debnath Ujjal , Biswas Mahasweta 
Published: December 2024

Abstract
In this work, we have studied about the configuration of a charged anisotropic strange star in the context of generalized Rastall Gravity. We have discussed the equation of motion for a static type symmetric and spherically space-time using the MIT Bag model. Various physical aspects, like energy density, radial pressure and tangential pressure etc., have been constructed with the help of Krori-Barua metric potentials. We have matched interior and exterior Reissner-Nordström geometry to evaluate the unknown constants of the model. Several necessary physical aspects have been examined like energy density, both radial and tangential pressure components, energy conditions, compactness, surface redshift and stability of strange stars with respect to our proposed model analytically and graphically. All graphical analyses are governed for a particular compact star 4U1820 − 30 and by two coupling parameters α and β. We have concluded that the effects of extra coupling term RT are minimum than the term R as in the original Rastall Gravity on the physical characteristics of a star. Moreover, all physical aspects satisfied their specific limits, and hence our proposed model is viable and stable.
Boosting thermophotovoltaic efficiency with GaInAsSb/GaSb heterojunction device
Authors: Sun Tongxin , Lou Yiyi , Li Xin , Wei Tingting , Wang Yu 
Published: December 2024

Abstract
We demonstrate the enhanced thermophotovoltaic energy conversion with GaInAsSb/GaSb heterojunction cells. The case study for 0.53 eV n-GaInAsSb/P-GaSb cell indicates that, at the matched spectrum temperatures (1700 ~ 2100K), efficiency up to 7.5% ~ 8.1% and power density in the range of 3.55 ~ 6.95W/cm2 can be expected for the illumination of unshaped blackbody spectrum. The net efficiency improvement can be up to 1.7% ~ 2.0% once 0.53 eV GaInAsSb p–n cell is taken as control cell; while for GaSb control cell, the effective reduction of matched spectrum temperature can be up to 300 ~ 400 K for heterojunction cell. These results have thus evidenced a new type of cell or strategy to boost thermophotovoltaic energy conversion.
Synchronization of nonidentical neural mass models via the concept of dissipativity
Authors: Dong Miao , Liu Xian , Li Renjie , Ao Dun 
Published: December 2024

Abstract
Synchronization widely exists in brain networks and plays a significant role in the transmission and processing of signals in cognitive processes. Abnormal synchronization can lead to neurological and psychiatric disorders such as schizophrenia and Alzheimer's disease. It is an essential and challenging task to design a controller achieve synchronization between different brain regions. This paper aims to investigate the synchronization problem of two nonidentical neural populations. Error feedback controller are proposed to achieve synchronization between two nonidentical neural populations. In addition, the sufficient conditions of synchronization are provided by utilizing Lurie system theory and the concept of dissipativity. The numerical simulations used two types of Wendling neural mass models. One type of model can be coupled to form a neural network which could help to investigate synchronization on macro level. And the other model can simulate realistic rapid brainwave activity related to the integration of multiple sensory perceptions.
Analytical modeling of thermomechanical stresses in short hyperelastic tubes under axial and torsional loading
Authors: Xu Chunwei 
Published: December 2024

Abstract
This study introduces an analytical model for analyzing thermomechanical stresses in finite-length hyperelastic hollow cylinders under axial-torsional loading and non-isothermal conditions. The model incorporates an axial temperature distribution and decomposes strain responses into thermal expansion and mechanical stretches. Governing equations are derived using large deformation kinematics and the Neo-Hookean strain energy function. Solutions for displacements, stresses, and pressure variables are obtained with appropriate boundary conditions. Validation against 3D finite element analysis demonstrates strong agreement with significant computational cost savings. These findings challenge the conventional linear assumption for twist angles under large deformations. Increasing temperature differences introduce noticeable nonlinearities in radial and axial stress distributions, resulting in significant nonlinear axial stress distributions along the vertical walls. Additionally, higher temperature differences reduce axial stress at the inner radius, while shear stresses predominantly remain radial with minimal variation. In summary, this efficient analytical tool provides invaluable insights into thermomechanical stresses in soft active cylindrical components, with broad potential applications across various fields.
Synchronization analysis of fractional delayed dynamical networks under switching topology
Authors: Pan Genan , Pang Denghao , Liu Song 
Published: December 2024

Abstract
This article addresses the global synchronization of fractional dynamical networks with both delayed and non-delayed couplings under a switching topology, where the coupling configuration matrices need not be commutative. By utilizing a modified fractional Razumikhin technique, the common Lyapunov function method and graph theory, we present a convenient and effective approach to establish reliable algebraic criteria for global synchronization. Our method effectively overcomes the challenges associated with fractional calculus, time delays, and switching topologies. A key finding is that global synchronization can be achieved more rapidly by adding additional edges to the coupling configuration graphs. Additionally, an illustrative example is provided to demonstrate the effectiveness of our theoretical results.