bluuebunny/crossref_metadata_2025_split huggingface dataset:
Epitaxial growth of quasi-2D van der Waals ferromagnets on crystalline substrates
Authors: Kumar Negi Subhransu , M B Abhijith , Paul Sourav , Pandey Vineet , K Roy Ajit , R Glavin Nicholas , Watanabe Kenji , Taniguchi Takashi , Sarkar Suman , Kochat Vidya 
Published: August 2024

Abstract
Intrinsic magnetism in van der Waals materials has instigated interest in exploring magnetism in the 2D limit for potential applications in spintronics and also in understanding novel control of 2D magnetism via variation of layer thickness, gate tunability and magnetoelectric effects. The chromium telluride (Cr
x
Te
y
) family is an interesting subsection of ferromagnetic materials with high

T

C

values, also presenting diverse stoichiometry arising from self-intercalation of Cr. Apart from the layered CrTe2 system, the other non-layered Cr
x
Te
y
compounds also offer exceptional magnetic properties, and a novel growth technique to grow thin films of these non-layered compounds offers exciting possibilities for ultra-thin spin-based electronics and magnetic sensors. In this work, we discuss the role of crystalline substrates in chemical vapor deposition growth of non-layered 2D ferromagnets, where the crystal symmetry of the substrate as well as the misfit and strain are the key players governing the growth mechanism of ultra-thin Cr5Te8, a non-layered ferromagnet. The magnetic studies of the as-grown Cr5Te8 reveal the signatures of co-existing soft and hard ferromagnetic phases, which makes this system an intriguing system to search for emergent topological phases, such as magnetic skyrmions.
Asymptotic behavior of a semilinear non-autonomous wave equation with distributed delay and analytic nonlinearity
Authors: Feng Baowei 
Published: August 2024

Abstract
This paper is concerned with a semilinear non-autonomous wave equation with distributed delay and analytic nonlinearity. The distributed delay is represented by an integral operator integrating on the delay interval, which considers a segment of the past dynamic information. Firstly we show the global boundedness of solutions and then prove that every globally bounded solution has a relative compact range in the phase space. By the Łojasiewicz–Simon inequality, we prove the convergence to an equilibrium of globally bounded solutions and then show the convergence rate dependence on the Łojasiewicz exponent and the decay conditions on non-autonomous term. The existence and uniqueness of a global strong solution is finally proved. Note that the result of existence and uniqueness of the solution does not need any restrictions on the coefficients between the damping and the delay. The presence of an integral kernel makes distributed delays more difficult to be analyzed compared to its pointwise counterpart.
Thermal modeling and simulation applied to novel microwave hybrid heating process
Authors: Singh Tarunpreet , Sehgal Shankar 
Published: August 2024

Abstract
Owing to the unique encouraging characteristics of microwave hybrid heating, primarily volumetric heating, and additional potentials such as being repeatable, quick, economical, and green; it has been utilized in various processing techniques. The efficient joining of mild steel pipes through microwave hybrid heating in a multimode applicator at 2.45 GHz and 900 W for an operational time of 480 s has already been performed. The modeling and simulation of the process have been performed in this research paper as the numerical analysis of the working environment is crucial for evaluating various aspects of a technique, decreases process-design cycle time, and found to be more economical than experimental trials. The numerical analysis provides in-depth insight-taking into consideration of the electromagnetic field distribution, its interaction with the materials, heat generation and transfer, along with the thermal analysis of the experimental assembly, in addition to the comprehensive parametric analysis. The numerical model of the assembled set-up was developed in order to simulate a real-life heating environment by solving electromagnetic and heat transfer equations and providing analytically predicted results with an accuracy of 3.75% against the experimental results. The analytical modeling and simulation have been strategically fragmented into three phases which are pre-processing, processing, and post-processing phase and elucidated extensively, providing a systematic working of the analytical model. This research will be utilized further in optimizing the microwave hybrid heating process in order to make it time-efficient and inexpensive for its applications to industrial environments.
Enhanced dielectric, magnetic, and photocatalytic properties of sol-gel synthesized Eu-Cr codoped BiFeO3 nanoparticles
Authors: Parida Sridhar , Nanda Jyotirmayee 
Published: August 2024

Abstract
A series of polycrystalline Eu-Cr co-doped BiFeO3 nanoparticles were synthesized using the sol–gel method. The obtained samples were characterized by employing the XRD, FTIR, FESEM, UV–vis, LCR meter, and SQUID techniques. XRD analysis confirmed rhombohedral phase formation for all samples, and the crystallite sizes decreased with higher Cr3+ doping concentrations. The stretching and bending vibrations of Fe-O bonds in FeO6 octahedra and the formation of perovskite nature were confirmed by the FTIR analysis. From microstructural studies, a decrease in crystallite size with increased doping concentration was observed, corroborating the XRD results. The magnetic studies revealed an enhanced magnetization, probably caused by the distorted cycloid spin structure of the codoped nanoparticles with size ≤62 nm. The lower value of the squareness ratio of the M-H loop indicated strong magnetostatic interaction between grains, which might have played a great role in the enhancement of the maximum magnetization of the doped samples. The dielectric constant and loss tangent were evaluated as a function of frequency at room temperature. The photocatalytic activities of all the samples were evaluated by measuring the degradation of RhB dye under sunlight irradiation. The highest photocatalytic degradation efficiency of 94% was achieved with the substitution of Cr3+ (3%) and Eu3+ (4%) ions in BiFeO3 nanoparticles.
Design and control of topological Fano resonance in Kane-Mele nanoribbons for sensing applications
Authors: Jalilvand Samira , Soltani Morteza , Noorinejad Zahra , Amini Mohsen , Ghanbari-Adivi Ebrahim 
Published: August 2024

Abstract
The concept of topological Fano resonance, characterized by an ultrasharp asymmetric line shape, is a promising candidate for robust sensing applications due to its sensitivity to external parameters and immunity to structural disorder. In this study, the vacancy-induced topological Fano resonance in a nanoribbon made up of a hexagonal lattice with armchair sides is examined by introducing several on-site vacancies, which are deliberately created at regular distances, along a zigzag chain that stretches across the width of the ribbon. The presence of the on-site vacancies can create localized energy states within the electronic band structure, leading to the formation of an impurity band, which can result in Fano resonance phenomena by forming a conductivity channel between the edge modes on both armchair sides of the ribbon. Consequently, an ultracompact tunable on-chip integrated topological Fano resonance derived from the graphene-based nanomechanical phononic crystals is proposed. The Fano resonance arises from the interference between topologically protected even and odd edge modes at the interface between trivial and nontrivial insulators in a nanoribbon structure governed by the Kane-Mele model describing the quantum spin Hall effect in hexagonal lattices. The simulation of the topological Fano resonance is performed analytically using the Lippmann-Schwinger scattering formulation. One of the advantages of the present study is that the related calculations are carried out analytically, and in addition to the simplicity and directness, it reproduces the results obtained from the Landauer-Büttiker formulation very well both quantitatively and qualitatively. The findings open up possibilities for the design of highly sensitive and accurate robust sensors for detecting extremely tiny forces, masses, and spatial positions.
A perfect absorber based on a VO2-tunable Fabry–Perot cavity: an analysis of periodic oscillation absorption characteristics
Authors: Zhang Yanpeng , Sun Xuehong , Liu Liping , Qin Guoche , Yu Haibo , Li Zhanxiong 
Published: August 2024

Abstract
Terahertz metamaterial absorbers (TMAs) have garnered significant attention as vital electromagnetic wave-absorbing devices. In this study, we designed a terahertz metamaterial absorber (TMA) utilizing an asymmetric Fabry–Perot nanocavity comprising vanadium dioxide (VO2), gold (Au), and polyimide. The TMA exhibits five perfect absorption peaks within 0.1 THz to 10 THz, with an absorption rate exceeding 97%, peaking at 99%. The absorption rate oscillates periodically between 0 and 1, and its oscillating absorption peak can be determined by f

m
(

f

m

=
(
2
m
+
1
)

c

0

/

(
4
t

ε

2

), while tunability of the absorption rate between 15% and 97% is achievable by adjusting the conductivity of (VO2) (2×102∼2×105S/m). The physical mechanism of the absorption peak was analyzed by simulation and compared with theoretical analysis. The results show that the absorption peak of the absorber’s absorptivity can be insensitive to polarization and has a wide absorption angle of 80% up to 40◦ or more. Importantly, the thickness of the absorber (VO2) layer can be calculated from the desired absorption frequency and dielectric constant of the interlayer medium,

d
=

ε

0

/

μ

0

/

σ

, thus reducing the need for redesigning different resonant layer patterns. This work provides a new perspective on terahertz absorber design.
First-principles study on electronic and mechanical properties of Ru2XAl (X = Mn, Zr, Ti, Hf) alloys
Authors: Hao Peichen , Liu Wenzhi , Wang Jian 
Published: August 2024

Abstract
The magnetic properties of Heusler alloys have been a hot research topic. However, the current understanding of the properties of Ru-based Heusler alloys is still very limited. The magnetic, electronic, and mechanical properties of four Ru-based Heusler alloys, Ru2XAl (X = Mn, Zr, Ti, and Hf) were calculated by the first-principles. This article studied the basic mechanical parameters of four types of Heusler alloys, such as bulk elastic modulus, Cauchy pressure, Pugh’s ratio, shear modulus, Kleinman parameter, Young’s modulus, Poisson’s ratio, and elastic constant. The calculated results of the elastic constant prove that all four alloys are mechanically stable. Ru2MnAl alloy exhibits brittleness, while the other three alloys exhibit excellent ductility based on Poisson’s ratio and Pugh’s ratio. The Kleinman parameter of the four alloys are all greater than 0.5, indicating that they have stronger stability in the tensile state. In addition, the spin magnetic moment of Ru2MnAl alloy is 2.113

μ

B

,

which is consistent with the SP rule and other theoretical calculations.
Synthesis and investigation of polyvinylpyrrolidone-polymer content on magnetic and electromagnetic properties of electrospun BiFeO3, SrFe12O19, α-Fe2O3 nanostructures
Authors: Salehi Moghaddam Vahid , Gholizadeh Ahmad 
Published: August 2024

Abstract
A one-pot electrospinning technique was employed to synthesize polyvinylpyrrolidone (PVP)-based nanofibers containing bismuth ferrite (BiFeO3), strontium hexaferrite (SrFe12O19), and hematite (α-Fe2O3). The influence of PVP polymer concentration on structural properties revealed the formation of pure phases in all samples, except for BiFeO3 nanofibers, which contained an impurity Bi2Fe4O9 phase. Field-emission scanning electron microscope images showed that higher PVP concentrations resulted in longer, thicker nanofiber chains for all samples. Vibrating sample magnetometer analysis indicated that SrFe12O19 nanofibers exhibited strong ferrimagnetic properties with high saturation magnetization (60 emu g−1) and coercivity (5000 Oe), while the other samples displayed weaker magnetic properties. To address the fragility of nanofibers produced via the one-pot method, the highest PVP concentration nanofibers were incorporated into low and high concentrations of paraffin matrices. Electromagnetic testing showed that paraffin concentration significantly increased the real part of electrical permittivity for BiFeO3 nanofibers (from ∼2 to ∼4.5) compared to other compositions (∼2 to ∼3). Impedance results revealed that BiFeO3 nanofibers had the lowest resistance and likely higher reflectivity. Lastly, the real permittivity of nanofibers decreased with increasing frequency, aligning with Koop’s dielectric relaxation theory.
Band structure for relativistic charged particles immersed in a structurally chiral electromagnetic field
Authors: Lima Abraham , Reyes J Adrian 
Published: August 2024

Abstract
In this paper, we determine the band structure of an electromagnetic space-time crystal. We construct a coordinate transformation in which the matrix elements of the Dirac equation are constant. Consequently, their corresponding band structure is recovered analytically. The band structure is fragmented into three different energy regions. In the center, there is a region prohibited for all particles (universal band gap), which is symmetrically enveloped by two energy regions of the same width. These regions allow the passage of particles with a specific spin (discriminatory band gaps). Furthermore, we demonstrate that, through the appropriate combination of the refractive index, the length of the electromagnetic wave, and the amplitude of the electric field, it is possible to shorten the bandwidth of the universal gap and replace it with a discriminatory band gap. In that sense, the proposed system constitutes an alternative procedure to observe the Schwinger mechanism experimentally.
Reconstruction algorithm for cross-waveband optical computing imaging
Authors: Xie 谢 Jin-Tao 锦涛 , Bie 别 Shu-Hang 书航 , Li 李 Ming-Fei 明飞 , Yu 余 Yuan-Jin 远金 , Li 李 Yi-Fei 毅飞 , Wang 王 Jin-Guang 进光 , Quan 全 Bao-Gang 保刚 , Wu 吴 Ling-An 令安 
Published: August 2024

Abstract
In a single-pixel fast imaging setup, the data collected by the single-pixel detector needs to be processed by a computer, but the speed of the latter will affect the image reconstruction time. Here we propose two kinds of setups which are able to transform non-visible into visible light imaging, wherein their computing process is replaced by a camera integration mode. The image captured by the camera has a low contrast, so here we present an algorithm that can realize a high quality image in near-infrared to visible cross-waveband imaging. The scheme is verified both by simulation and in actual experiments. The setups demonstrate the great potential for single-pixel imaging and high-speed cross-waveband imaging for future practical applications.
Durability and mechanical characteristics of self healing fiber reinforced concrete
Authors: Neeraja P , Prasad E V 
Published: August 2024

Abstract
The durability of concrete structures is a critical aspect of sustainable infrastructure, and the incorporation of self-healing mechanisms has gained significant attention in recent years. This study presents a comprehensive study on the durability of self-healing concrete using a combination of crystalline admixture and fly ash as a mineral admixture and nylon fibers. The research focuses on the effectiveness of crystalline admixtures in promoting autonomous crack healing in concrete, while fly ash enhances the overall durability characteristics whereas nylon fibers to enhance the tensile characteristics of concrete. Studies on selfhealing of concrete have been done for M70 grade but the current research is focussing the study on M25 to check the efficiency of the crystalline admixture on lower grades of concrete. In the present investigation, the healing properties of cracked concrete varying is analyzed by varying the nylon fibers in o.5 %, 1%, 1.5%, keeping the optimum fly ash percentage as 15%, and using 1.1% crystalline admixture. The mechanical properties of the healed concrete are determined before crack formation and after crack healing. Furthermore, the research examines the influence of fly ash as a mineral admixture on the durability aspects of self-healing concrete by performing various tests such as acid resistance test and alkali resistance test. The inclusion of a 1.1% crystalline admixture, 15% fly ash, and 0.5% nylon fibers in concrete has shown significant benefits in terms of regaining compressive strength and split tensile strength. After a healing period of 28 days, the material’s compressive strength improved by 63.78%, while the split tensile strength increased by 62.57% when compared to the control mix. And also when immersed in acid and alkali solutions the same mix showed minimal weight loss and percentage of strength loss.
Project Management Analysis for a Multi-storey building using Analytical data and Primavera - A Comparison
Authors: Manjunatha  , Rayabharapu Vijay Kumar , Abhay M , Tharun Gangadhar B 
Published: August 2024

Abstract
In India, the construction sector ranks as the second largest industry. Planning, scheduling, controlling, and tracking the projects are necessary for managing construction projects because they frequently have time and cost overruns for a variety of reasons. Project monitoring processes may not be carried out effectively even with well-established principles and policies because of practical problems that arise or exist in the project. To overcome these issues software like Microsoft Project Management (MSP), Primavera, etc…are helpful. In this project, a multi-storey building is selected which is a residential building (G+3) with a total built-up area of 1487 Sqft located at HMT Society, Old Post Office Road, Jeedimetla. A plan is drafted in AUTO-CAD software, the detailed cost estimation of the building is prepared in a Microsoft Excel sheet and manual scheduling is prepared based on the site-monitored data. Its total cost is INR 75,00,000.00/-.
All the major stages like creating an EPS, WBS, linking of activities according to their relationships and availability of resources, and determination of critical Path are clearly shown in the report. Finally, manual scheduling data is analyzed in Primavera P6 software, which clearly shows us the Gantt Chart and activity relationships report to analyze the project. It is found that there is a feasible way to use the data in these tools rather than Manual scheduling.
An experimental study on the effect of a Viscosity Modifying Agent on the rheological and strength behaviour of 3D Printed Concrete
Authors: Prathipati SRR Teja , Vardhan J. , Murali D. , Nithin C. , Karthik Sai C. 
Published: August 2024

Abstract
Automatic construction technologies have become the primary focus of the global construction sector. 3D printing is one of the disruptive technologies emerging from Industrial Revolution 4.0. 3D printing has grown increasingly popular in concrete construction due to its architectural freedom, speed, formwork-free printing, lesser waste creation, eco-friendliness, affordability, and safety. There were issues with the printing process when manufacturing 3D-Printed Concrete (3DPC) mixes, such as poor extrusion and buildability issues. This study investigates the use of Viscosity Modifying Agents (VMAs) in 3DPC to improve printability as well as structural integrity. VMAs, known for their capacity to change the rheological properties of concrete mixtures, are used selectively to optimise the material’s flow behaviour throughout the 3D printing process. The study compares the effect of VMA concentrations on the workability and buildability properties of 3DPC mixtures. Comparative examinations of VMA-enhanced and traditional 3DPC specimens indicate that an optimised VMA dose improves structural performance. The findings of this study hold significant relevance for the advancement of 3D printing technology in construction, offering a more nuanced understanding of the role of VMAs in optimising concrete mixtures for additive manufacturing.
Differential privacy protection algorithm for large data sources based on normalized information entropy Bayesian network
Authors: Ni Guangyuan , Sun Jiaxin 
Published: August 2024

Abstract
With the rapid development of the Internet, privacy protection in big data has become an important research hotspot in the field of information security. Among them, differential privacy protection is the most widely used big data privacy protection technology today. However, the existing differential privacy protection technology cannot fully and effectively deal with the problem of high-dimensional privacy big data. Although the private data publishing method based on a Bayesian network can effectively deal with the conversion problem of high-dimensional data sets to low-dimensional data sets, this method also has some defects and deficiencies. Therefore, this paper proposes a large data source differential privacy protection algorithm (NIE-PrivBayes algorithm) based on normalized information entropy Bayesian network and proposes three improvements to the original PrivBayes algorithm. First, the original data set is protected by differential privacy on the client side. Secondly, the Bayesian network is constructed by the joint probability distribution obtained by the EM algorithm. Finally, the existing Bayesian network construction algorithm is optimized in the aspects of normalized information entropy. Based on significantly reducing the computational overhead, the effectiveness and availability of publishing high-dimensional data sets are realized under the premise of differential privacy protection.
Improving chinese cross-modal retrieval with multi-modal transportation data
Authors: He Yanzhong , Zhang Yanjiao , Zhu Lin 
Published: August 2024

Abstract
As societal development progresses and individual travel needs evolve, the demand for acquiring multi-modal transportation status information has steadily increased. The present domain of transportation status encompasses a wealth of multi-modal information, including vehicle trajectory data, traffic condition visual imagery, and textual information. Acquiring multi-modal transportation status information facilitates a rapid understanding of the prevailing traffic conditions at a given location. In this study, we investigate multi-modal transportation status data encompassing trajectories, textual descriptions, and visual imagery. We establish a multi-modal dataset comprising circuit, text, and image data and enhance the state-of-the-art cross-modal retrieval model within the Chinese domain. We utilize hash codes to compute the similarity between images and textual descriptions. During model evaluation using our collected dataset, the Chinese-CLIP-Hash model (our model) demonstrates performance improvements over the Chinese-CLIP model. Specifically, it exhibits a 1.0% improvement in R@10 for the Text-to-Image task and a 0.4% improvement in R@5 for the Image-to-Text task, along with a 0.2% enhancement in R@10. Furthermore, during the cross-modal retrieval process, it achieves a notable speed increase, exhibiting an 11% improvement in speed compared to the Chinese-CLIP model when handling queries from a set of 400 textual descriptions.