bluuebunny/crossref_metadata_2025_split huggingface dataset:
Drastic enhancement of electronic correlations induced by hydrogen insertion in the cerium intermetallic compound CeFeSi
Authors: Sourd J , Vignolle B , Gaudin E , Burdin S , Tencé S 
Published: November 2024

Abstract
We report a comparative study of two cerium-based intermetallic compounds: CeFeSi with an anti-PbFCl type structure, and CeFeSiH with a ZrCuSiAs type structure. The latter is obtained from CeFeSi through hydrogen insertion. Our results are based on x-rays, transport, thermodynamic and magnetic measurements. While the tetragonal structure with P4/nmm symmetry remains unchanged after hydrogen insertion, the thermodynamic, magnetic, and transport properties change drastically. On the one hand, CeFeSi behaves as a Pauli paramagnet with a small Sommerfeld coefficient, indicating the absence of 4f electron physics. On the other hand, our study shows that CeFeSiH exhibits strong magnetic fluctuations with a magnetic transition at 3.5 K, and coherent Kondo-lattice heavy-fermion features.
Thickness-dependent structural and growth evolution in relation to dielectric relaxation behavior and correlated barrier hopping conduction mechanism in Ni0.5Co0.5Fe2O4 ferrite thin films
Authors: Sahu Somnath , Balmuchu Shashi Priya , Dobbidi Pamu 
Published: November 2024

Abstract
Ferrite thin films are explored due to their promising properties, which are essential in various advanced electronic devices. However, depositing a film with pure phase and uniform microstructure is challenging. The Ni0.5Co0.5Fe2O4 ferrite thin films are deposited using pulsed laser deposition technique to explore the effect of thickness on structural properties, growth evolution, temperature-dependent dielectric behavior, and conduction mechanisms. Microstructural analysis revealed that the films are uniformly grown, exhibiting surface roughness ranging from ∼2 to 4 nm. The dielectric response, adhering to a modified Debye model, exhibited multiple relaxation processes, with notable changes in the dielectric constant and loss as film thickness increased. Impedance spectra exhibited both space charge and dipolar relaxation phenomena, corroborated by Cole–Cole and electrical modulus plots. The analysis of the imaginary electric modulus using the Kohlrausch–Williams–Watts function revealed non-Debye-type relaxation in all deposited films, characterized by thermally activated broad peaks. Conductivity decreased up to a certain film thickness, and the frequency exponent derived from Jonscher’s power law suggested a correlated barrier hopping model for AC conduction. Activation energies improved with film thickness up to 125 nm, consistent with a constant energy barrier for polarons during relaxation and conduction phases. The film with 125 nm thickness exhibited the optimal dielectric properties, with the maximum dielectric constant, minimum dielectric loss, and highest activation energy. These findings highlight the potential of dense, uniformly grown films with high dielectric constants and low dielectric losses for advanced electronic device applications.
Self-sensing cementitious composites for structural health monitoring: recent advances and challenges and future prospects
Authors: Roshan Mohammad Jawed , Correia António Gomes , Fangueiro Raul , Mendes Paulo Mateus 
Published: November 2024

Abstract
Structural health monitoring (SHM) (early detection of degradation, cracks, and damage) of civil engineering infrastructures plays a vital role in extending their service lifespans and decreasing maintenance costs. Thus, self-sensing cementitious composites have attracted significant attention in recent years. However, application of self-sensing cementitious composites in SHM still faces several challenges. This review summarizes the latest advances in self-sensing cementitious composites. First, the components of self-sensing cementitious composites featuring matrix materials, conductive fillers (metal- and carbon-based), dispersion techniques for carbon-based conductive fillers, fabrication, measurement systems, and conductivity mechanisms are discussed. The electromechanical characteristics of self-sensing cementitious composites and challenges posed in their application are comprehensively and critically discussed.
Influence of the nature of the distribution of recombination centers in the space charge region of the p–n junction on the parameters of the current–voltage characteristics within the classical Shockley and Shockley–Noyce–Sah models
Authors: Manyakhin Fedor I , Varlamov Dmitry O , Morketsova Lyudmila O , Skvortsov Arkady A , Nikolaev Vladimir K 
Published: November 2024

Abstract
The behavior of current–voltage characteristics (CVC) within the classical Shockley and Shockley–Noyce–Sah models depending on the nature of the distribution of recombination centers in the space charge region of the p–n junction was analyzed. Notably, the non-ideality factor determined from experimental CVC cannot be introduced into the exponent of the mathematical model of the CVC because it is unrelated to the physical nature of the exponentials of classical models but indicates the voltage dependence of the pre-exponential factor of the recombination component of the total current. The exponential factor of the model with a non-ideality factor describing the experimental CVC presents only a mathematical approximation of a small portion of it.
Superresolution in separation estimation between two dynamic incoherent sources using spatial demultiplexing
Authors: Schlichtholz Konrad , Rudnicki Łukasz 
Published: November 2024

Abstract
Achieving resolution in the sub-Rayleigh regime (superresolution) is one of the rapidly developing topics in quantum optics and metrology. Recently, it was shown that perfect measurement based on spatial mode demultiplexing (SPADE) in Hermite–Gauss modes allows one to reach the quantum limit of precision for estimation of separation between two weak incoherent stationary sources. Since then, different imperfections such as misalignment or crosstalk between modes have been studied to check how this result translates into more realistic experimental setups. In this paper, we consider another deviation from the perfect setup by discarding the assumption about the stationarity of the sources. This is relevant for example for astrophysical applications where planets necessarily orbit around the star. We analyze two examples of dynamics: rotations and oscillations, showing the robustness of the SPADE-based measurement against them. The analysis is based on Fisher information, which allows one to obtain the precision limit through Cramér–Rao bound. Furthermore, we formulate a measurement algorithm that allows for the reduction of one parameter for estimation (system orientation angle) in the stationary sources scenario, maintaining the measurement precision despite the lack of knowledge about this parameter.
Asymptotic nonlinear stability of traveling waves to a chemotaxis model with logarithmic sensitivity and nonlinear production
Authors: Zhu Neng , Wang Cong , Wang Wanwan 
Published: November 2024

Abstract
This paper is concerned with the existence and nonlinear stability of traveling wave solutions to a chemotaxis model with logarithmic sensitivity and nonlinear production

u

t

−

(
u
v
)

x

=
D

u

x
x

,

(
⋆
)

v

t

+

ε

v

2

−

u

2

x

=
ε

v

x
x

,

for

x
∈
R

, t ≥ 0, D > 0, ε > 0, and the initial data

(
u
,
v
)
(
x
,
0
)
=
(

u

0

,

v

0

)
(
x
)
⟶

(

u

−

,

v

−

)
,

x
→
−
∞
,

(

u

+

,

v

+

)
,

x
→
+
∞
.

Based on the phase plane analysis method, we establish the existence of traveling fronts to the system (⋆). The asymptotic nonlinear stability of traveling wave solutions to the system (⋆) is identified for u
+ > 0 and u
+ = 0 by weighted energy estimate methods, respectively. Compared with the previous results, our results do not require any smallness assumption on the wave strengths.
Imaging quality prediction and preload optimization for a precision optical system considering assembly errors
Authors: Wang Xingjie , Gong Hao , Liu Jianhua , Xue Fenqi 
Published: November 2024

Abstract
With the gradual enhancement in the accuracy of machining and the consistency of quality in precision optical components, the assembly process has emerged as a critical phase influencing the imaging quality of precision optical systems. The ability to accurately and swiftly predict the imaging quality of these systems under various assembly errors, along with optimization of processing, can facilitate the assembly of optical systems. In this research, an integrated optomechanical simulation approach was introduced, taking into account various assembly errors. This approach involved simulating the tightening process of bolts within the optical system, and the resulting mirror deformation due to bolt preloading was derived and fitted using Zernike polynomials. Furthermore, Zeman software was utilized to model the imaging quality of the optical system, factoring in both mirror deformation and posture deviations. The effects of different assembly errors on the energy concentration of the optical system were systematically examined. A dataset comprising preloads, posture deviations, and their corresponding energy concentrations was created. Ultimately, a surrogate model incorporating a combined MLP-XGBoost neural network was developed and trained on this dataset. The model’s superiority and reliability regarding prediction accuracy were confirmed through comparisons with MLP and XGBoost models, as well as traditional regression models (BP and SVR). Additionally, the stochastic gradient descent method was applied to optimize the preload magnitudes under various posture deviations of the primary and secondary mirrors. The findings indicated an average improvement of 11.34% in energy concentration compared to the values prior to optimization. This method significantly enhances the assembly efficiency and precision of the dual-reflector optical system.
Nanofluid dissipative Reiner-Philippoff model with thermal radiation: numerical investigation using the modified Adomian decomposition method associated with Mohand transforms
Authors: Adel M , Khader M M , Abbas W 
Published: November 2024

Abstract
The flow of nanofluids over a stretched sheet situated within a porous medium is the main subject of this work. The Reiner-Philippoff model, which includes a magnetic field, chemical reaction, thermal radiation, viscous dissipation, and variable thermal conductivity, is examined. The study investigates how these complex processes affect the system’s heat transfer characteristics and flow dynamics. A system of partial differential equations describes the physical model. We arrive at a system of ordinary differential equations that, due to its highly nonlinear nature, requires numerical treatment by employing the proper similarity transformations. The governing equations are solved numerically, namely by combining the Mohand transform and the Adomian decomposition method. For computer-based solutions, complicated equations are simplified using the sophisticated Modified Decomposition Method (MDM). To guarantee convergence, it combines the Mohand transform with Adomian decomposition methods, yielding a series solution that almost matches the precise solution to the issue.
ICGM-YOLO: UAV remote sensing small target detection algorithm based on feature fusion enhancement module and ghost convolution
Authors: Zhang Hongbin , Yang Jingmin , Zhang Wenjie , Ren Jinghui 
Published: November 2024

Abstract
Remote sensing images captured at high altitudes are affected by background noise and low resolution, leading to suboptimal performance of commonly used small object detection algorithms. This paper introduces ICGM-YOLO, an enhanced approach designed to improve the precision of detecting small objects within remote sensing images. The methodology refines YOLOv8 for optimal performance in this context. First, within the feature extraction network, iterative attention feature fusion combines feature maps and integrates features from different layers. Second, the convolutional layer and C2f module are replaced with the GhostConv module and C3Ghost to extract features. Finally, this paper replaces CIoU with the MFIoU loss function, which combines the new bounding box MPDIoU based on minimum point distance with Focaler-IoU. This replacement accelerates model convergence and enhances detection recall. Experimental results from the Visdrone2019 dataset indicate that ICGM-YOLO outperforms the original YOLOv8 by achieving an 8.1% improvement in mAP0.5 detection rate and a 5.3% increase in mAP0.5:0.95 detection rate. Additionally, ICGM-YOLO reduces the parameter count by 48.2% and decreases computational complexity by 45.2%.
High speed and low power hybrid adder using 22 nm SG-TG FinFET
Authors: Arora Sneha , Tripathi Suman Lata , Raj Balwinder 
Published: November 2024

Abstract
This paper demonstrates a new 22-T (transistor) hybrid adder for low-power applications using 22 nm shorted gate (SG) tri-gate (TG) FinFET technology. Large conducting channels and increased gate control make FinFET suitable for high-speed low-power computing circuits. The proposed hybrid adder is designed using pass transistor and CMOS logic. Also, it adopts the state-of-the-art techniques of dynamic leakage balancing on the ground path and stacking ground transistors that reduce parasitic effects and increase the speed of the logic transitions compared to traditional designs. Extensive simulations were executed to characterize for PDP (Power Delay Product), power dissipation, and delay of the hybrid adder circuit. From the Monte Carlo analysis, the robustness and efficiency of the circuit are also observable for minimum variation in power and delay due to process voltage and temperature (PVT) variations. Besides, concerning the supply variability and temperature, the circuit shows excellent stability by keeping the power consumption and delay performance consistent. The proposed 22-T hybrid adder using 22 nm SG-TG FinFET are very well-suited in low power and high-speed processors showing highly stable behaviour with reduced process variability.
Magnetically-assembled multifunctional Fe3O4@SiO2@Au particles for SERS detection of low-concentration dye molecules
Authors: Amonkar Shilpa R , Cherukulappurath Sudhir 
Published: November 2024

Abstract
Surface-enhanced Raman scattering (SERS) is a sensitive spectroscopic method to detect low concentration-low volume analytes. Owing to this, there has been a rising interest in developing improved as well as novel nanostructured substrates for SERS applications. For SERS applications, it is desirable to have large-scale assemblies of such nanostructures that can sustain multiple electromagnetic ‘hotspots’ for improved sensitivity. In this work, we use magnetic-field aided large-scale assembly of multifunctional magnetic-plasmonic particles to generate a large area SERS substrate. The particles, composed of a Fe3O4 core with a thin silica coating followed by Au nanoparticles (Fe3O4@SiO2@Au), were synthesized by simple chemical methods. The multifunctional particles were characterized using powder x-ray diffraction, transmission electron microscopy, Raman spectroscopy, and SQUID magnetometer. Magnetic assembly of the composite particles, carried out using a bi-electromagnet setup, was used for SERS detection of organic dyes such as rhodamine B and methylene blue. Using this scheme, it was possible to detect ultra-low concentrations (up to 1fM) of the dye molecules. This method is promising for applications such as chemical sensors, biomolecular detection, cancer detection, and hyperthermia treatment, forensic investigations, and drug delivery.
Quantum information for graphene wormholes
Authors: Moreira Allan R P , Bouzenada Abdelmalek , Ahmed Faizuddin 
Published: November 2024

Abstract
This paper explores the interplay between quantum information theory and the stabilization of graphene wormholes using external magnetic fields. Utilizing Shannon entropy, we analyze how quantum information can be applied to control and stabilize these structures. By studying graphene’s quantum states under different magnetic field strengths and configurations, we gain insights into the entanglement and coherence properties governing their behavior. The findings demonstrate the potential of quantum information metrics to enhance the stability and control of graphene wormholes, with implications for quantum computing and material science innovations.
Discovery of Six Low-z, High-luminosity, and High-mass Quasars
Authors: Hökelek Seyit , Kaçan Enes Selam , Filiz Ak Nurten 
Published: November 2024

Abstract
This study presents the discovery of six low-redshift quasars, identified through spectral observations conducted with the RTT-150 telescope. These quasars, with redshifts ranging from 0.3 to 0.6, were selected incorporating their placement in the color–color diagrams and detection by ROSAT 2RXS, focusing on those resembling the spectral energy distribution of a quasar. Our analysis includes detailed modeling of their continuum and emission line properties, which allowed us to estimate their bolometric luminosities, central black hole masses, and Eddington ratios. The findings reveal that these quasars exhibit exceptionally high luminosities and high masses for their redshift values, making them rare examples in the low-redshift quasar population. The results contribute to our understanding of quasar characteristics and their role in probing the structure and evolution of the nearby universe. This research underscores the importance of continued exploration of low-redshift quasars to enhance our knowledge of cosmic evolution and the dynamics of supermassive black holes in the early universe.
Enhancing some separability criteria via equiangular tight frames
Authors: Tang Liang , Wu Fan 
Published: November 2024

Abstract
Improvement of the detection ability of quantum entanglement is one of the essential tasks in quantum computing and quantum information. Finite tight frames play a fundamental role in a wide variety of areas and, generally, each application requires a specific class of frames and is closely related to quantum measurement. It is worth noting that a maximal set of complex equiangular vectors is closely related to a symmetric informationally complete measurement. Hence, our goal in this work is to propose a series of separability criteria assigned to a finite tight frame and some well-known inequalities in different quantum systems, respectively. In addition, some tighter criteria to detect entanglement for many-body quantum states are presented in arbitrary dimensions. Finally, the effectiveness of the proposed entanglement detection criteria is illustrated through some detailed examples.
Influence of hydrogen content in tokamak scrape-off-layer on performance of lithium divertor
Authors: Marenkov E.D. , Pshenov A.A. 
Published: November 2024

Abstract
Self-replenishing liquid metal coatings are considered as a perspective divertor design able to withstand challenging particle and power loads of a fusion tokamak-reactor. Numerical modeling of the scrape-of-layer (SOL) plasma with advanced 2D codes, such as SOLPS, is necessary for developing of the ‘liquid-metal’ divertor. In this work we report on upgraded version of SOLPS 4.3 code liquid metal erosion module implemented earlier in our group and present results of simulations of T-15MD tokamak with Li-covered divertor plates. The erosion model includes all main processes Li erosion, i.e. physical sputtering, thermal sputtering, evaporation, and prompt redeposition. Unlike some other available implementations, Li atoms are considered in kinetic approximation in our version. A detailed analysis of Li erosion and flow in T-15MD configuration for various powers (6–12 MW) and H content in the SOL is presented. It is shown that the most of eroded Li particles are redeposited on the divertor targets, however, in some regimes absolute Li flow from the divertor is still large and might lead to significant main plasma dilution with Li. Vapor shielding effect is pronounced on both divertor targets in the most reasonable regimes providing low peak heat flux values at the target plates, less than 10 MW m−2. The target erosion rate and surface temperatures are within limits of the most target designs. Moreover, in strongly shielded cases the target temperature can be even lower than the Li melting temperature meaning that external heating is required to keep Li flowing. Sensitivity analysis shows that our results are most sensitive to the target heat conduction parameters, i.e. the target thickness, outer surface temperature. It means that controlling the target cooling rate can be a useful tool for controlling the liquid Li divertor regime. Variation of the Li erosion rate parameters has little effect on the divertor performance.
Machine learning for reducing noise in RF control signals at industrial accelerators
Authors: Henderson M. , Edelen J.P. , Einstein-Curtis J. , Hall C.C. , Diaz Cruz J.A. , Edelen A.L. 
Published: November 2024

Abstract
Industrial particle accelerators typically operate in
dirtier environments than research accelerators, leading to
increased noise in RF and electronic systems. Furthermore, given
that industrial accelerators are mass produced, less attention is
given to optimizing the performance of individual systems. As a
result, industrial accelerators tend to underperform their own
hardware capabilities. Improving signal processing for these
machines will improve cost and time margins for deployment, helping
to meet the growing demand for accelerators for medical
sterilization, food irradiation, cancer treatment, and imaging. Our
work focuses on using machine learning techniques to reduce noise in
RF signals used for pulse-to-pulse feedback in industrial
accelerators. Here we review our algorithms and observed results for
simulated RF systems, and discuss next steps with the ultimate goal
of deployment on industrial systems.
Inadequacy of agricultural best management practices under warmer climates
Authors: Zammali Mohamed Khalil , Nazemi Ali , Hassanzadeh Elmira , Lindenschmidt Karl-Erich 
Published: November 2024

Abstract
Agricultural best management practices (BMPs) are often implemented to reduce nutrient transport from farmland to downstream waterbodies. However, under the scenario of a changing climate, nutrient transport processes may be altered and BMPs may not be as effective. Using an ensemble of downscaled climate projections under moderate and high radiative forcings, we perform a hybrid climate assessment of BMPs in a large, flat, and primarily agricultural watershed in the Canadian Prairies. We quantify the total nitrogen delivery under current and future climate scenarios, with and without BMPs. Our findings reveal that BMP combinations, which are currently sufficient under historical climate conditions, may become inadequate to handle increased nitrogen under future climate conditions. We examine the enhancement of BMPs, conditioned to mean ensemble projections. Although updated combinations of BMPs show improvements in both the magnitude and cost of nitrogen removal compared to historical practices, their efficiency systematically declines as temperature rises. The decline rate of BMP efficiency is significantly larger under the high radiative forcing. Even by implementing all considered BMPs, we show that, at least under some realizations of future climate, the historical status-quo nitrogen state, in which no BMP is implemented, cannot be maintained. Our study demonstrates the reduced effectiveness of BMPs as the climate warms. To combat this, we recommend the immediate implementation of updated BMPs to slow down the build up of nitrogen. However, in innovations in physical, chemical, and biological remediation technologies would be needed in long term to control nitrogen loads coming from farmlands.