bluuebunny/crossref_metadata_2025_split huggingface dataset:
Dynamics of photoinduced entanglement generation between remote electron-phonon systems
Authors: Ishida Kunio , Matsueda Hiroaki 
Published: March 2022

Abstract
We numerically study the dynamics of quantum entanglement generation between remote electron-phonon systems by photoirradiation employing a model of multiple spins and boson modes. The Schmidt decomposition on the time-dependent wavefunction enables us to discuss the mechanism of the entanglement generation as dynamical behaviors of the singular vectors. The calculated results show that an effective entanglement source will be provided by an appropriate measurement on the phonon state.
DFT-NEGF Study of Electron Transfer Property in Graphene Nanoribbon Double Barrier System
Authors: Sakamoto S , Tomiya M , Iida R 
Published: March 2022

Abstract
Current-voltage (I – V) characteristics in armchair graphene nanoribbon (AGNR) double barrier systems (DBSs) are investigated by the density functional theory (DFT) and the non-equilibrium Green’s function (NEGF) methods. The hexagonal boron nitride (h-BN) which has an analogous structure with a graphene shows wide bandgap and becomes an electrical barrier in DBSs. The heterojunction structure of AGNR and two h-BNs with one six-membered ring width has properties as a resonant tunnelling device. Due to the resonance, sharp peaks are formed in the transmission function around the Fermi energy EF
. Our previous studies have explained the origins of some peaks by solving the one-dimensional Dirac equation for massless particles. Here, by using the two-dimensional Dirac equation, we show that the remaining sharp peaks depend on the transverse nodal pattern of the wavefunction as well as the anisotropy of the Fermi velocity. Moreover, in the I – V characteristics, a flat part is formed without the negative differential resistance appearing. By partial density of state (PDOS) analysis, we reveal that the flat part in the current is caused by the fact that the peak positions in the resonance region are stable against the bias voltage.
Excitation and transport of bound magnon clusters in frustrated ferromagnetic chain
Authors: Onishi Hiroaki 
Published: March 2022

Abstract
We investigate magnetic excitations and spin transport properties of a frustrated spin chain with ferromagnetic nearest-neighbor and antiferromagnetic next-nearest-neighbor exchange couplings in a magnetic field by density-matrix renormalization group methods. In the field-induced quadrupole and octupole regimes, the low-energy excitation is governed by two-and three-magnon bound states, respectively, so that bound magnon clusters would contribute to the spin transport. We show that spin current correlations decrease when the system goes from the quadrupole regime into the octupole regime. This indicates that the spin transport is suppressed in the octupole regime, although bound three-magnon clusters carry a larger amount of angular momentum than bound two-magnon clusters.
3D hydrodynamics simulations of massive stars with the PROMPI code
Authors: Rizzuti F , Hirschi R , Georgy C , Arnett W D , Meakin C , Mocák M 
Published: March 2022

Abstract
Evolutionary models of massive stars are affected by uncertainties related to three-dimensional processes like convection. However, it is not computationally possible to simulate at the same time both the entire lifetime of a star and its fluid motions. 3D hydrodynamics simulations can be employed to study the fluid behaviour in very high detail for a short time-scale, which can be used to improve 1D models. The code PROMPI is a multi-dimensional hydrodynamics software developed specifically for simulations of the late phases in massive star interiors. In these proceedings, we present results from a new PROMPI simulation of the neon-burning shell in a 15 M© star, focusing on the interplay between convective turbulence and nuclear reactions. In particular, we show how it is possible to use the chemical composition to study the time evolution of the convective zone, which is subjected to turbulent entrainment.
Lattice QCD at nonzero temperature and density
Authors: Aarts G. , Allton C. , Hands S. , Jäger B. , Kim S. , Lombardo M. P. , Nikolaev A.A. , Ryan S. M. , Skullerud J.-I. 
Published: March 2022

Abstract
We discuss some selected recent developments in the field of lattice QCD at nonzero temperature and density, describing in particular the transition from the hadronic gas to the quark-gluon plasma, as seen in simulations using Wilson fermions.
Modelling of Large-scale Grid-connected PV System with Reactive Power Control Methods
Authors: Oum Chansophea , Zhang Yiyi 
Published: March 2022

AbstractThis paper describes detailed scrutiny of the main components contained in the system. There is a DC-DC converter that extracts the maximum amount from the photovoltaic generator. The interface inverter was developed to transfer energy from the PV module into the grid with constant common dc voltage. A 90MW PV system with a 3-phased framework linked is planned and reviewed. This system is a high-fidelity exemplary with power control in the inverters, DC-DC converters, DC-AC inverters, and three-phase service grids used as components designed and formed mathematically as a reproduction model. The model contains various components such as the boost converter, the PV control modes, the inverter, and the framework utility. The essence of the reactive power generation in the PV inverter is represented. The components are modelled physically to generate high-fidelity simulation. Active and reactive power measurements are accurately taken and analysed. The study of the PQ controller is presented in the framework connection control of the system. The simulation results obtained in the modelling process show an effective power-controlled model.
NV-center distribution and ODMR spectra in two types of natural diamonds
Authors: Breev I D , Yakovleva V V , Anisimov A N 
Published: March 2022

Abstract
Two types of natural diamonds were investigated by means of PL scanning and ODMR. One was irradiated by neutrons to create NV-centers and the second wasn’t specifically treated. The pattern of NV-center distribution was found such that NV-centers in untreated diamond are localized in a special direction, supposedly sliding planes. Furthermore, the spin Hamiltonian parameters E and D of NV-center ground state, calculated by ODMR spectra in untreated diamond, depend on the surface point.
Dimer of dielectric nanospheres as a generalized Huygens element
Authors: Dmitriev A A , Rybin M V 
Published: March 2022

Abstract
We study the conditions of suppressed backward scattering in optical oligomers. Optical oligomers are closely packed clusters of nanoparticles which support multiple resonances, allowing to achieve scattering phase rotation by 2π necessary for metalenses. In this paper we consider the simplest oligomer — a dimer, which is irradiated by a normally-incident plane wave with the magnetic field oriented along the dimer axis. Using the dipole approximation, we have derived analytically the generalized Kerker condition for this system. Similarly to a single sphere case, the electric and magnetic dipole have to be of the same amplitude to suppress the backward scattering. However, due to the inter-particle coupling, the full coupled-dipole problem must be solved to find the wavelength of the backscattering suppression. Using the coupled-dipole and coupled-multipole methods, we have found that the Kerker condition wavelength for the considered dimer is red-shifted compared to a single sphere.
Creation of effective sources of white radiation based on GaP(As,N) on silicon substrates
Authors: Lazarenko A A , Nikitina E V , Pirogov E V , Gudovskikh A S , Baranov A I , Mizerov A M , Sobolev M S 
Published: March 2022

Abstract
The article is devoted to the study of light-emitting heterostructures based on GaP(As,N) dilute nitrides, monolithically grown on silicon substrates by plasma-assisted molecular beam epitaxy. Current-voltage characteristics and electroluminescence spectra of the grown heterostructures are obtained. For the first time, a unique effect is observed in GaP(As,N) dilute nitrides - the appearance of white electroluminescence when a reverse bias is applied. The result was obtained due to the original design of the light-emitting heterostructure and the unique properties of dilute nitride solid solutions.
Conductive properties of flexible polymer composites with different carbon-based fillers
Authors: Tonkov D N , Kobylyatskaya M I , Vasilyeva E S , Semencha A V , Gasumyants V E 
Published: March 2022

Abstract
This paper is devoted to the comparative study of conductive properties of three types of flexible polymer composites consisting of styrene-butadiene rubber (SBR) as a matrix and graphite, graphene or single-walled carbon nanotubes as fillers. The dependences of the resistivity on the mass fraction of different fillers are measured and analyzed within the framework of the statistical percolation theory. The percolation parameters (the values of the percolation threshold and the critical exponent) are calculated for all studied composites. Their variation depending on the filler type is discussed, taking into account a geometric shape of filler particles and the nature of the conduction process in composites in the percolation range. The sensitivity of the resistivity of synthesized composites to axial deformation at different mass fraction of fillers is also investigated. Using graphite or graphene fillers is observed to result in a higher sensitivity compared to the carbon nanotubes filler. The highest value of the gauge factor is observed when using 23 mass.% graphene filler that indicates graphene/SBR composites to be most promising for creating strain sensors.
Stochastic sandpile on a cycle
Authors: Melchionna Andrew 
Published: March 2022

Abstract
In the stochastic sandpile (SS) model on a graph, particles interact pairwise as follows: if two particles occupy the same vertex, they must each take an independent random walk step with some probability 0 < p < 1 of not moving. These interactions continue until each site has no more than one particle on it. We provide a formal coupling between the SS and the activated random walk models, and we use the coupling to show that for the SS with n particles on the cycle graph

Z

n

, the system stabilizes in O(n
3) time for all initial particle configurations, provided that p(n) tends to 1 sufficiently rapidly as n → ∞.
Smart Harvest Diseases Identification using Image Processing
Authors: Roshan Kanaklata , Dutta Ritam , Roy Bhaskar , Goswami Chiranjib 
Published: March 2022

Abstract
Manual identification of leaf or fruit diseases is nearly impossible when it comes to large scale production, and it is a very time-consuming task that also requires a large amount of manpower. Hence, the existing technology is used where the disease identification is done within minutes. When a code is developed and deployed in any of the surveillance drones, a large-scale area can be covered in minutes and with less manpower. Here, in this proposal, there are two methods proposed. One is using the keywords and the other method is where a classifier is trained with the database available and the classifier with the highest accuracy is tested against the test set and a result is obtained. When there is a huge area of land, manually identifying the leaf diseases may require a lot of manpower and also be time-consuming. Hence, deploying this code in any sprayer drone will help in identifying the diseases within minutes. Along with disease identification, the particular longitude and latitude of the disease affected leaves’ location will be saved due to the fact that when the land is huge, the farmer need not go in search of the location; instead, a drone will fly to the exact location and the respective fertiliser will be sprayed. Before identification of leaf disease, a photo of the diseased leaves will be captured, due to which, by looking at the picture, the farmer can decide whether medication is necessary or not.
Defect detection in rotating machine elements by using an improved image segmentation technique
Authors: Chawla V.K. , Yadav Ekta 
Published: March 2022

Abstract
In industrial applications rotating machinery is widely used. Therefore it becomes necessary to diagnose the health of rotating machinery and detect any fault during their working. The pre-determination of defects can alert the operators and overall system for any type of incident and loss. Generally, fault in the rotating machine causes a rise in temperature of the rotating elements of the machine during their working. In this work, the image segmentation technique is used on thermal images of rotating elements of a machine to identify and detect the defects in them. The main focus of this investigation is to apply linear transformation and improved hyper smoothing based local binary pattern(LTIHLBP) image segmentation technique for defect detection and compare its performance with other conventional defect detection techniques namely improved hyper-smoothing function based local binary pattern (ILHBP), Sobel and Canny. In this paper, three tests are performed to identify the effectiveness of the proposed method. The first test is performed on synthetic images to identify the accuracy and Jaccard similarity index(JSI) of the proposed segmentation method, the second test is performed on healthy moving element images and the third test is performed on faulty moving element images. The outcome of this investigation revealed that the proposed method of LTIHLBP outperforms the conventional image segmentation-based defect detection techniques and found to be capable and accurate in diagnosing and detecting defects.
Comparative study of Nano-fluids as Coolants in a Car Radiator
Authors: Aditi  , Farooque Zoya , Chauhan Nathi Ram 
Published: March 2022

Abstract
The automobile industry has been researching and developing ways to maximize the efficiency of the engine while ensuring the cars remain compact. One of the ways to achieve this result is by decreasing the frontal area of the car, which not only makes the car compact but will also provide the enhanced aerodynamic effect. The efficiency of a car radiator greatly depends upon the rate of heat transfer of the radiator that in turn depends on the properties of the coolant used, a coolant with higher thermal conductivity has the ability to transfer heat at a faster rate and cool down the engine quickly which results in better engine efficiency and a decrease in need of coolant volume required, pumping power and eventually the size of the radiator. That will result in a smaller frontal area which leads to engine efficiency, compact cars, and better fuel economy, and lesser emissions. Through our research, we have demonstrated that with the use of nanofluids, by virtue of their enhanced thermal conductivity property, they offer a better heat dissipation than conventional coolants thereby having a potential practical application.
An overview of integration of PV system into electric grid
Authors: Rani P , Arora V P , Sharma N K 
Published: March 2022

Abstract
With new developments in switching converter technology, the utilization of non-conventional energy resources as decentralized generators has gone up significantly. Integration technique has now become effective due to the globe’s energy demands, which have imposed a considerable need for alternative techniques through which electricity can be generated or integrated, and also the fact that integrating renewable electricity into traditional sources is essential to minimize the utilization of fossil fuel usage. Photovoltaic (PV) systems are at the centre of this transformation, using the sun’s abundant energy and converting it to alternating current. Due to present electricity consumption, degradation of fossil-fuel resources, and effect on the environment, research groups are increasingly willing to integrate renewable energy from this source into networks. PV generation integrated techniques are discussed, as well as the advantages of integration of PV system with electric grid, solar PV system features for integration, and the issues and alternatives of PV-grid integration are identified. This study would help in the installation of PV panels with grid integration in upcoming work while avoiding the apparent problems that have been experienced in previous projects, as well as provide data for academic scholars on the feasibility of integration of PV system with electric grid.
IP based Dual Data Security for Cloud Storage Against Denial-of-Service Attack
Authors: Jain Priyanka , Chourasia Uday , Barskar Raju 
Published: March 2022

Abstract
The main aim of the attacker is to increase the unwanted packets flooding in the network. It is considered as a king of assaults because it floods the network with an excessive number of useless packets, causing the network capacity to be consumed and data transmission in the network to be hampered. The primary work of DDSCS is to visualize the impact of a DoS attack on a network and identify the node or nodes that are causing the network’s performance to be negatively affected. The attacker ping attempts are very high in network but the data delivery attempts are almost negligible. The DDCSS security system examines the profiles of each node in the network through its IP address and the number of ping attempts. If the attacker is one of the nodes that flooded the network with superfluous packets, the DDSCS method prevented the attacker in the network. The simulation results demonstrate the performance of DoS, SPAS and proposed DDSCS but the DDSCS schemes, indicating that it is successful and demonstrating a 0% attacking rate in the presence of an attacker.
Performance Analysis of Fully Depleted SOI (FD-SOI) MOSFET Incorporating Dielectric Engineering
Authors: Kumar Prashant , Vashishath Munish , Gupta Neeraj , Gupta Rashmi 
Published: March 2022

Abstract
This paper presents an efficacy of an FD SOI MOSFET structure in suppressing short channel effects is investigated through 2-Dimenional simulation on ATLAS Silvaco. The electrical comparison between Bulk MOSFET, FD-SOI MOSFET and FD-SOI MOSFET using high-k gate dielectric at 45nm technology has been carried out. The structures have been designed and study of threshold voltage, sub threshold slope, drain current (Ion), leakage current (Ioff), Ion/Ioff, transconductance has been done. The features offered by the new device structure are found to be better than the conventional bulk MOSFET. Aluminum Oxide (Al2O3) has been compared to SiO2 as dielectric material. As the dielectric constant of the materials increased, there is a reduction in the leakage current. It provides higher transconductance and better subthreshold slope, thus resulting in improvement of the device. A comparative analysis has been carried out among bulk MOSFET and SOI MOSFET using aluminum oxide, silicon oxide and silicon nitride as gate dielectric materials. Aluminum Oxide also provides higher drain current as compared to other dielectric materials presented in the paper. Thus, Aluminum Oxide is a good candidate as a dielectric for the future devices as compared to traditional oxides. The proposed device can be useful for low power applications.
Investigation of Stability Analysis and Control of synchronous generator connected infinite bus system under fault condition
Authors: Rupesh Kumar A , Hussain Zakir 
Published: March 2022

Abstract
This paper focuses on the Investigation of stability analysis and control of synchronous generator integrated to infinite bus system. The stability of power system is analysis of taking different configurations for suppress the oscillations of various dynamic results by using proper facts devices and manages the gains of synchronous machine regulators for better results. However, increasing the stability of system when synchronous generator integrated to infinite bus system under fault conditions and Different oscillatory modes are obtained with their eigenvalues, and the results from eigenvalue analysis are presented to demonstrate the various configurations of system.
A Recapitulation of Electric Spring for Demand Side Management & Power Quality Mitigation
Authors: Solanke Sanjana Satish , Jadoun Vinay Kumar , Jayalakshmi N. S. , Kanwar Neeraj , Shrivastava Ashish 
Published: March 2022

Abstract
The Mechanical Springs act has developed into electric spring (ES). The efficient law developed by Hooke’s, has been upraised with the new scientific application which pays vital role in this modern society. The main function of this highly new grid technology provides distributed energy storage, voltage regulation, amplify the power quality and stability in a highly and reliable way. So the improvised control scheme has been assist to open new and different avenues to utilize the electric spring to greater extent. Electric Spring is new and innovative concept by which modern society is able to renew natural energy in easy way. Power match between the generation facet as well as the demand facet will be effectively relieved. This theory transforms many non- critical loads with smart loads in the latest century that have automatically following power generation. It is a novel control approach which is needed in the new future smart grid. The previous concept of output voltage control turns into new one that is input voltage control which is based on reactive power to emphasize this work. Because of the rise in the growth of smart grids, micro grids and RESs, it seems to be observed that ES has been growing in popularity for the past few years. It is a form of power system stability solution and it will be ultimate demand side management which is ready to provide stability solutions.
Effect of Nanoparticle on the Performance of Water Lubricated Journal Bearing
Authors: Chauhan Nathi Ram , Khera Arhantika , Agarwal Shubhi , Bagri Mehak , Aggarwal Aditi 
Published: March 2022

Abstract
Journal bearings have widespread use in machinery with rotating shafts. Hydrodynamic journal bearings have lubricating fluid present between shaft and bearing to reduce friction and allow smooth operation. The lubricating fluid develops pressure when bearing is in operation and this pressure is used to carry load on the shaft. The commonly used lubricants in the industry are petroleum based synthetic oils. To do away with the disposal issues and toxicity regarding synthetic oils, water is used as the lubricating fluid for this study. The effect of adding nanoparticles to water is studied and a program in MATLAB is developed to determine the characteristics of bearing, namely load carrying capacity, coefficients of stiffness and coefficients of damping for shaft speeds 500 rpm, 1000 rpm and 1500 rpm. It is observed that addition of nanoparticles results in increased magnitude of load carrying capacity and the bearing exhibits high value of damping and stiffness coefficients indicating stability of shaft for every speed.