bluuebunny/crossref_metadata_2025_split huggingface dataset:
Assortativity provides a narrow margin for enhanced cooperation on multilayer networks
Authors: Duh Maja , Gosak Marko , Slavinec Mitja , Perc Matjaž 
Published: December 2019

Abstract
Research at the interface of statistical physics, evolutionary game theory, and network science has in the past two decades significantly improved our understanding of cooperation in structured populations. We know that networks with broad-scale degree distributions favor the emergence of robust cooperative clusters, and that temporal networks might preclude defectors to exploit cooperators, provided the later can sever their bad ties soon enough. In recent years, however, research has shifted from single and isolated networks to multilayer and interdependent networks. This has revealed new paths to cooperation, but also opened up new questions that remain to be answered. We here study how assortativity in connections between two different network layers affects public cooperation. The connections between the two layers determine to what extent payoffs in one network influence the payoffs in the other network. We show that assortative linking between the layers—connecting hubs of one network with the hubs in the other—does enhance cooperation under adverse conditions, but does so with a relatively modest margin in comparison to random matching or disassortative matching between the two layers. We also confirm previous results, showing that the bias in the payoffs in terms of contributions from different layers can help public cooperation to prevail, and in fact more so than the assortativity between layers. These results are robust to variations in the network structure and average degree, and they can be explained well by the distribution of strategies across the networks and by the suppression of individual success levels that is due to the payoff interdependence.
Ultracold polar molecules as qudits
Authors: Sawant Rahul , Blackmore Jacob A , Gregory Philip D , Mur-Petit Jordi , Jaksch Dieter , Aldegunde Jesús , Hutson Jeremy M , Tarbutt M R , Cornish Simon L 
Published: December 2019

Abstract
We discuss how the internal structure of ultracold molecules, trapped in the motional ground state of optical tweezers, can be used to implement qudits. We explore the rotational, fine and hyperfine structure of 40Ca19F and 87Rb133Cs, which are examples of molecules with 2Σ and 1Σ electronic ground states, respectively. In each case we identify a subset of levels within a single rotational manifold suitable to implement a four-level qudit. Quantum gates can be implemented using two-photon microwave transitions via levels in a neighboring rotational manifold. We discuss limitations to the usefulness of molecular qudits, arising from off-resonant excitation and decoherence. As an example, we present a protocol for using a molecular qudit of dimension d = 4 to perform the Deutsch algorithm.
Geneva Mechanism Geometric Resolution
Authors: Escobedo Eduardo Martinez 
Published: December 2019

Abstract
Geneva mechanisms have been used to obtain an output intermittent circular motion by the means of a continuous circular motion. It offers the option of having a rest time with between motions in the output link. This paper is intended to provide the geometric resolution of this mechanisms via number of steps and diameter of output link. The approach is theorical and does not include tolerances for pins, grooves or locking wheels.
Modeling directed self-assembly of nanoparticles under parallel electric fields
Authors: Withers M. O. , Baker E. , Mazilu D. A. , Mazilu I 
Published: December 2019

Abstract
We design and model an experiment to study the effect of electric bias on particle-coverage densities produced during ionic nanoparticle self-assembly. The experiment involves the application of a uniform external electric field parallel to a glass substrate during the self-assembly of silica nanoparticles. We refer to this procedure as directed self-assembly of monolayers (DSAM). In our theoretical analysis, we modify existing cooperative sequential adsorption models to account for diffusion under an applied electric field. We use the mean field approximation to solve for particle-coverage densities. To ascertain the validity of this method, we compare our solutions to Monte Carlo simulations of the system.
Quantum tunneling through two sequential barriers: A simple derivation
Authors: Carrasco Z. , Moreta N. , Pachacama R. , Vacacela Gomez C. 
Published: December 2019

Abstract
In this work, based on the relevant solutions to the Schrodinger equation, we present a simple derivation of one-dimensional quantum tunneling through two successive potential barriers, separated by an intermediate free region. In particular, we hypothesized that the transmission coefficient depends strictly on the number (n) of barriers. This finding has never been discussed previously and need to be confirmed by future experiments.
Modeling of mechanical behavior in additive manufacturing at part scale
Authors: Chen Qiang , Beauchesne Erwan , Arnaudeau Francis , Dahoo Pierre-Richard , Meis Constantin 
Published: December 2019

Abstract
Laser Beam Melting is actually capable of producing parts with reliable mechanical properties. However, efficient production still remains a challenge and high quality numerical simulation is required in order to understand the physical mechanisms involved. Consequently, a macroscopic numerical model at part scale is actually under development for understanding the relationship between different process and material parameters with the mechanical state of final parts such as distortion and residual stress. Classical finite element method is used to solve the coupled thermo-mechanical problem on the whole domain defined by the workpiece, the baseplate and the support structures. At this scale, powder packing is neglected as well as the hydrodynamics behavior within the melt pool. Homogeneous equivalent heat source is used and imposed until several layers below the current deposited layer. Elastoplastic constitutive material law with temperature dependent parameters has been developed.
Small-angle scattering from Apollonian packings using Monte Carlo simulations
Authors: Anitas E M 
Published: December 2019

Abstract
Analytic expressions for form factors of several simple deterministic fractals have been derived in the last years, including mass-, surface-, fat and multi-fractals. Such expressions are very useful for extracting various structural parameters such as the fractal dimensions, lower and upper limits of the fractal, iteration number or the scaling factor. However, for more complex structures such as Apollonian packings (AP), where the fractal symmetry can not be easily exploited, analytic expressions are not available and we have to resort to other methods. Here, we calculate the pair-distance distribution function and small-angle scattering intensity of 3D AP using Monte Carlo simulations, and show that the corresponding fractal dimension is D ≃ 2.46, which is very good agreement with theoretical predictions. Thus, Monte Carlo simulations can be used successfully to characterize complex deterministic systems at nano- and micro-scales.
Finsler geometry modeling of reverse piezoelectric effect in PVDF
Authors: Egorov V I , Maksimova O G , Koibuchi H , Jug G , Bernard C , Chenal J-M , Lame O , Diguet G , Sebald G , Cavaillé J-Y , Takagi T 
Published: December 2019

Abstract
We apply the Finsler geometry (FG) modeling technique to study the electric field-induced strain in ferroelectric polymers. Polyvinylidene difluoride (PVDF) has a negative longitudinal piezoelectric coefficient, which is unusual in ferroelectrics, and therefore the shape changes in this material are hard to predict. We find that the results of Monte Carlo simulations for the FG model are in good agreement with experimental strain-electric field curves of PVDF-based polymers in both longitudinal and transverse directions. This implies that FG modeling is suitable for reproducing the reverse piezoelectric effect in PVDF.
Simulation of the polarization switching in thin ferroelectric films
Authors: Maksimov A V , Baruzdina O S , Maksimova O G , Egorov V I , Baidganov A R 
Published: December 2019

Abstract
To study the polarization switching in thin ferroelectric films, we used a modified three-dimensional Ising model, which takes into account the depolarizing field. The hysteresis curves were calculated as functions of the temperature and the film thickness. The influence of the depolarizing field on the hysteresis curves for thin ferroelectric films was investigated. The dependence of the coercive field on the inverse film thickness wascalculated.
Benchmarking of Adiabatic Quantum Computation models to predict the structure of proteins
Authors: Anaya Alan , Delgado Francisco 
Published: December 2019

Abstract
Proteins’ structure is a challenge in bioinformatics. We revisit the Hidrophobic-Polar (HP) model for Quantum Adiabatic Computation (AQC) formalizing its modeling, together an analysis about its unfeasibility in classical simulation versus quantum processing.
Deformation and Smoothing of Cusp Singularities
Authors: Mumtaz F , Alharbi F H 
Published: December 2019

Abstract
A cusp singularity (CS), is a point at which the slope of a continuous curve changes abruptly in sign and magnitude. A particular type of CS, which is the focus of this paper, is where only the sign of the slope is altered while the magnitude of the slope is unchanged. This type of CSs occur in many natural phenomena such as Kato’s cusp and particular plasmonics. Solving such problems numerically can be challenging because of the discontinuity in the derivatives. In this paper, we present an efficient spectral method incorporated with transformation (mapping) to handle the cusp problem. The transformation is based on functions that are locally odd around all the cusp points. The idea is to transform functions from C0 continuity to CN continuity (N < 1), and then implement a spectral method to solve the mapped problem without any domain decomposition. The final solution is obtained with inverse mapping.
Equivalent temperature concept in laser physics and its correspondence with thermodynamic temperature
Authors: Aloian G A , Mukhankov D M , Kovalenko N V , Ryabushkin O A 
Published: December 2019

Abstract
The concept of the equivalent temperature of the crystal interacting with laser radiation, which was recently introduced in laser physics, is based on the dependence of the crystal sample eigenfrequencies on its temperature. This concept was successfully applied for measurements of low absorption coefficients of different optical materials. In this paper, we present an accurate identification of the equivalent temperature of the sample with its thermodynamic temperature basing on both mathematical modelling and experimental verification.
Modelling an Experiment to Measure the Speed of Gravity In Short Distances
Authors: Frajuca C , Bortoli F S 
Published: December 2019

Abstract
An experiment to measure the speed of gravitational signals in short distances has been developed with the goal to study its behaviour as traveling through a medium different from air. The experiment is composed of three sapphire devices suspended in vacuum and cooled down to 4.2 Kelvin. The amplitudes of the central device (detector) is monitored by an ultralow phase noise microwave signal using resonance in the whispering gallery modes. The other two sapphire devices are excited by piezoelectric crystals, which make the two devices vibrate at the same frequency and phase. Between the two vibrating devices and the detector, a different medium will be placed, and then the speed is measured and compared with the case where the medium is pure air. The modelling of the experiment is made assuming the detector as a spring-mass system. The results show that the detection is achievable.
Soliton surfaces associated with the (1+1)-dimensional Yajima-Oikawa equation
Authors: Umbetova Zhanbala , Yesmakhanova Kuralay , Myrzakul Tolkynay 
Published: December 2019

Abstract
Soliton surfaces associated with integrable systems play a signi cant role in physics and mathematics. In this paper, we investigate the relationship between integrable equations and differential geometry of surface by the example of the Yajima-Oikawa equation. The integrability of nonlinear equations is understood as the existence their Lax representations. Using the connection between classical geometry and soliton theory, we have found the soliton surface related with the Yajima-Oikawa equation. The surface area, curvature, the rst and second fundamental forms are found.
Numerical solution of the direct and inverse problem of electrical exploration using the finite element method
Authors: Dimitrienko Yu I , Zubarev K M , Krasnov I K 
Published: December 2019

Abstract
This article discusses the results of solving the problem of electrical exploration using direct current. The developed methods and algorithms for solving the direct and inverse exploration tasks are tested on several inhomogeneous models of the environment. The task is considered in three-dimensional approximation. To solve using the finite element method. Based on direct problem algorithm, a method for solving the inverse problem was implemented, which consists in finding the minimum of the deviation functional, which in turn leads to the multiple solution of the direct problem. The results were analyzed in order to identify disadvantages and advantages. An analysis was also made of the search time for optimal solutions, and the dependence of the accuracy of the solution on the thickening of the mesh when solving the problem by the finite element method was discussed.
The EPR-B Paradox Resolution. Bell inequalities revisited.
Authors: Foukzon Jaykov , Men’kova Elena R , Potapov Alexander A 
Published: December 2019

Abstract
One of the Bell’s assumptions in the original derivation of his inequalities was the hypothesis of locality, i.e., the absence of the influence of two remote measuring instruments on one another. That is why violations of these inequalities observed in experiments are often interpreted as a manifestation of the nonlocal nature of quantum mechanics, or a refutation of a local realism. It is well known that the Bell’s inequality was derived in its traditional form, without resorting to the hypothesis of locality and without the introduction of hidden variables, the only assumption being that the probability distributions are nonnegative. This can therefore be regarded as a rigorous proof that the hypothesis of locality and the hypothesis of existence of the hidden variables not relevant to violations of Bell’s inequalities. The physical meaning of the obtained results is examined. Physical nature of the violation of the Bell inequalities is explained under new EPR-B nonlocality postulate. We show that the correlations of the observables involved in the Bohm–Bell type experiments can be expressed as correlations of classical random variables. The revisited Bell type inequality in canonical notatons reads 〈AB〉 + 〈A’B〉 + 〈AB’〉 − 〈A’B’〉 ⩽ 6.
Numerical analysis of Krylov multigrid methods for stationary advection-diffusion equation
Authors: Evstigneev Nikolay M. 
Published: December 2019

Abstract
This paper outlines the problem of applying multigrid methods for the stationary scalar advection-diffusion equation for the given advection filed. We assume that all functions are smooth enough to be represented by discretization methods. Two main discretization are considered: finite difference method for Dirichlet boundary conditions and pseudo-spectral method for the periodic boundary. We test the following smoothers for multigrid methods: Jacobi smoother, Gauss-Seidel smoother, Krylov subspace smoother (GMRES method with and without preconditioners). The analysis is performed in the space formed by the cross product of discretization parameters, diffusion coefficient values, multigrid levels and smoothers.
We demonstrate that the most efficient strategy depends on parameter value and given velocity field. Best variants include Gauss-Seidel smoothers which is optimal for advection-dominated problem while multigrid method is used as a preconditioner for a Krylov method. Such methods can be used for spectral or pseudo-spectral methods where explicit dense matrix storage is impossible.
Homemade computed tomography setup with FDK reconstruction software
Authors: Kussainov A S , Saduev N O 
Published: December 2019

Abstract
X-ray source, detector and rotation stage as the sample holder were used to built the hardware part of the homemade CBCT scanner. The full scale numerical simulation of the CBCT experiment was modified to complete the scanner. This C/C++ software package is capable to process an arbitrary CT experimental or synthesized data for 3D reconstruction using the FDK method. The high degree of the package’s flexibility allows different CBCT recording and reconstruction geometries with different source and detector positions and their spatial trajectory. The classical computed tomography arrangement, when the gantry, rotating around the sample, is loaded with the opposed sources and detectors, was replaced by the rotating sample and fixed source and detector. Mismatches between these two schemes in reconstruction procedure such as misplacement of the rotation axis from the expected location and other misalignments are compensated by introducing the corresponding variables in the reconstruction software.
In search of an effective Monte Carlo method for identification of atmospheric contamination source
Authors: Kopka Piotr , Wawrzynczak Anna 
Published: December 2019

Abstract
We present the Bayesian framework able to identify the source of the airborne contaminant. We compare the effectiveness of framework utilizing the three popular Monte Carlo algorithms with the use of data from the full-scale Field experiment - Copenhagen Tracer Experiments. The input data ta are the on-line arriving concentrations of released substance registered by sensors, while the output are the posterior probabilities of four parameters characterizing the contamination source, i.e.: contamination source position (x,y,z) and release rate (q). As the forward model to predict the concentrations at the sensors locations, we use fast response Second-order Closure Integrated Puff model. The performer study present that among the Markov Chain Monte Carlo (MCMC), Sequential Monte Carlo (SMC) and Sequential Monte Carlo Approximate Bayesian Computation (SMC ABC) the last algorithm performed the best in the proposed framework localizing the airborne contaminant source parameters.
Modeling and research of influence of the external magnetic field on processes in a metal melt, received in the heavy current arc furnace
Authors: Anikeev V.N. , Dokukin M.Yu. 
Published: December 2019

Abstract
Need of a research of processes of hashing of liquid metal fusion for receiving homogeneous alloys is proved in this work. The mathematical model of processes of electromagnetic hashing of the fusions received the arc furnace is given. Statement of a special experiment for check of the offered model is considered. Results of calculations and the made experiments on the small-sized arc furnace are given. In the conclusion good coincidence of the offered theory and an experiment is emphasized and recommendations for improvement of the available processing equipment are made.
Modeling of stress state of a perforated cement sheath in a production well
Authors: Kireev T F , Bulgakova G T 
Published: December 2019

Abstract
Modeling of stress state of a perforated cement sheath in a production well is performed. Long-term well operation is considered. The slightly compressible fluid flow model is used to calculate the pore pressure of a fluid. The linear-elastic body model and finite volume method with multipoint stress approximation are used to calculate the stress state of the cement sheath and production casing. The numerical model was verified by comparing the calculation results with a calculation in the Fenics open-source computing platform. It is shown that the maximum von Mises stress value falls on the perforation zone at the junction of the cement sheath and production casing. Stresses are shown to slightly decrease during long-term well operation. It is also shown that an increase in the Young’s modulus of the production casing leads to a decrease in the von Mises stress in the cement sheath.
Replacement of numerical simulations with machine learning in the inverse problem of two-phase flow in porous medium
Authors: Goncharova Yu A , Indrupskiy I M 
Published: December 2019

Abstract
A possibility to replace full-physics numerical simulations with machine-learning-based algorithms in inverse problems of multiphase flow in porous media is studied on an example of specialized oil-well tests. The performance function is computed at each iteration of the inverse problem solution using an artificial neural network (ANN) instead of forward numerical simulations. Proper ANN structure, training set, and learning algorithm are established and implemented. Achieved approximation quality for the performance function on a test sample is well suitable for the inverse problem solution. Further improvements and alternative ANN formulations are proposed for practical applications.
Model for assessing the influence of factors on a country’s competitiveness in the global economy
Authors: MGaleeva G , Zagladina E N , Kadeeva E N , Kadeeva Z K 
Published: December 2019

Abstract
In the work, based on the analysis of the countries-leaders of competitiveness, it was revealed that all of them among the most developed sectors of the economy had components of the competitiveness index related to innovative development and infrastructure. This suggests that it is the sectors of innovation and infrastructure that can be considered strategically important and make efforts for their development. Therefore, it makes sense to build models related to these areas. The paper presents two macroeconomic models for assessing the influence of factors on competitiveness, one of which will be innovation-oriented, and the second - infrastructure-oriented. These models use spatial data reflecting the assessments of 111 countries for a number of indicators produced by international organizations such as the World Economic Forum, the World Bank, and the World Intellectual Property Organization. Data for the Russian Federation are not included in the sample, since they will be used later to verify the results of the models.
Mathematical Model of Gas Dilution in Two Phases Flows of Fluid and Gas
Authors: Levin Mikhail P. 
Published: December 2019

Abstract
Various models of solubility of gas in two-phase ows of gas and liquid are considered. Such phenomena play an important role in various technical devices especially at modern nuclear power plants. Mathematical models of bubble ows with gas dissolution, gas phase model, and model of liquid phase dissolution were considered and discussed.
Neural network approach to solving the inverse problem of surface-waves generation
Authors: Voronin E.A. , Nosov V.N. , Savin A.S. 
Published: December 2019

Abstract
The paper proposes an approach to the inverse tasks of the surface-waves generation, based on information technologies of machine learning. On the basis of this approach, a method has been developed for determining the parameters of a cylinder and a wing profile moving in fluid according to a laboratory experiment about a free surface liquid disturbed by them.