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Search for "numerical simulations" in Full Text gives 123 result(s) in Beilstein Journal of Nanotechnology.

A superconducting adiabatic neuron in a quantum regime

  • Marina V. Bastrakova,
  • Dmitrii S. Pashin,
  • Dmitriy A. Rybin,
  • Andrey E. Schegolev,
  • Nikolay V. Klenov,
  • Igor I. Soloviev,
  • Anastasiya A. Gorchavkina and
  • Arkady M. Satanin

Beilstein J. Nanotechnol. 2022, 13, 653–665, doi:10.3762/bjnano.13.57

Graphical Abstract
  • and the formation of the sigmoidal activation function have also been studied. We start with the parameters of the input flux as presented in Figure 3. Numerical simulations demonstrate a distortion of the sigmoidal form of the activation function even when the SQ neuron is initialized in the ground
  • instantaneous eigenbasis. Numerical simulations are performed for the temperature of the bosonic thermostat at T = 50 mK. We investigated the relaxation of the excited states for both the single-well (l < l*, Figure 10a,c) and double-well (l > l*, Figure 10b,d) potential shapes. The key result is the
  • SQ neuron concept was developed with the support of the Russian Science Foundation (project no. 20-12-00130). The numerical simulations were supported by UNN within the framework of the strategic academic leadership program “Priority 2030” of the Ministry of Science and Higher Education of the
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Published 14 Jul 2022

Approaching microwave photon sensitivity with Al Josephson junctions

  • Andrey L. Pankratov,
  • Anna V. Gordeeva,
  • Leonid S. Revin,
  • Dmitry A. Ladeynov,
  • Anton A. Yablokov and
  • Leonid S. Kuzmin

Beilstein J. Nanotechnol. 2022, 13, 582–589, doi:10.3762/bjnano.13.50

Graphical Abstract
  • achieve in real junctions. In our opinion, the most reliable way to determine the critical current is to compare the experimental lifetime as a function of the current with the lifetime calculated using numerical simulations [39][40][41] in the frame of the resistively–capacitively shunted junction (RCSJ
  • need to use numerical simulations since, in the experiment, we are limited by the time constant of the filters that provide suppression of external interferences. As a result, we cannot measure switching times faster than the time constant, which in our case is about 1 ms. To obtain shorter times, we
  • increases significantly. In Figure 5, one can see how the switching probability evolves with increasing temperature from 50 to 500 mK. The difference is not very large because at 50 mK the effective temperature was rather 265 mK, according to numerical simulations, and the thermal current at 500 mK is much
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Published 04 Jul 2022

Tunable superconducting neurons for networks based on radial basis functions

  • Andrey E. Schegolev,
  • Nikolay V. Klenov,
  • Sergey V. Bakurskiy,
  • Igor I. Soloviev,
  • Mikhail Yu. Kupriyanov,
  • Maxim V. Tereshonok and
  • Anatoli S. Sidorenko

Beilstein J. Nanotechnol. 2022, 13, 444–454, doi:10.3762/bjnano.13.37

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  • implementation of the key elements of the discussed neural networks is the focus of this work. Results and Discussion Model of tunable Gauss-neuron: numerical simulations A common architecture of the considered RBFNs [49] is presented in Figure 1a. These networks have only one hidden layer of neurons on which
  • dash–dot line) mutual orientations of magnetization between FM1 and FM2 layers as functions of the spacer thickness. Funding G-neuron and tunable inductance were developed with the support of the Russian Science Foundation (project no. 20-69-47013). The numerical simulations were supported within the
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Published 18 May 2022

Theoretical understanding of electronic and mechanical properties of 1T′ transition metal dichalcogenide crystals

  • Seyedeh Alieh Kazemi,
  • Sadegh Imani Yengejeh,
  • Vei Wang,
  • William Wen and
  • Yun Wang

Beilstein J. Nanotechnol. 2022, 13, 160–171, doi:10.3762/bjnano.13.11

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  • to their composition and structural polytypes. However, experimental measurements of the electronic and mechanical properties of 2D materials face the challenge of synthesizing high-quality pristine crystals. Thus, numerical simulations have become a promising alternative due to the relatively good
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Published 02 Feb 2022

Heating ability of elongated magnetic nanoparticles

  • Elizaveta M. Gubanova,
  • Nikolai A. Usov and
  • Vladimir A. Oleinikov

Beilstein J. Nanotechnol. 2021, 12, 1404–1412, doi:10.3762/bjnano.12.104

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  • anisotropy constant was assumed [28][29] to be promising in magnetic hyperthermia. However, numerical simulations [30] showed that for spherical nanoparticles an increase of the uniaxial anisotropy constant leads to a decrease in SAR and a shift of the optimal particle diameters to smaller dimensions
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Published 28 Dec 2021

Design aspects of Bi2Sr2CaCu2O8+δ THz sources: optimization of thermal and radiative properties

  • Mikhail M. Krasnov,
  • Natalia D. Novikova,
  • Roger Cattaneo,
  • Alexey A. Kalenyuk and
  • Vladimir M. Krasnov

Beilstein J. Nanotechnol. 2021, 12, 1392–1403, doi:10.3762/bjnano.12.103

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  • sources. In this work we analyze thermal and radiative properties of such devices based on mesa structures of a layered high-temperature superconductor Bi2Sr2CaCu2O8+δ. Two types of devices are considered containing either a conventional large single crystal or a whisker. We perform numerical simulations
  • needle-like whisker. We present numerical simulations for various geometrical configurations and parameters and make a comparison with experimental data. It is demonstrated that the structure and the geometry of both the superconductor and the electrodes play important roles. Electrodes provide an
  • the substrate, see Figure 6c. Therefore, the substrate acts as a dielectric resonator and may strongly affect the radiation pattern of the device. The presented numerical simulations provide a qualitative explanation of the reported difference in radiative properties of whisker- and crystal-based
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Published 21 Dec 2021

Cantilever signature of tip detachment during contact resonance AFM

  • Devin Kalafut,
  • Ryan Wagner,
  • Maria Jose Cadena,
  • Anil Bajaj and
  • Arvind Raman

Beilstein J. Nanotechnol. 2021, 12, 1286–1296, doi:10.3762/bjnano.12.96

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  • to improve their measurements. We shed light on this issue by deliberately pushing both our experimental equipment and numerical simulations to the point of tip–sample detachment to explore cantilever dynamics during a useful and observable threshold feature in the measured response. Numerical
  • nonlinear response feature to the onset of tip–sample detachment in our numerical simulations to confirm the conclusions from prior works [26][27][28]. The simulations allow for deeper insight into cantilever dynamics during the interaction between the AFM probe tip and the sample, which in turn allow us to
  • measurements and numerical simulations of cantilever response amplitude as a function of drive frequency at different drive amplitudes are shown in Figure 1. Figure 1a shows the experimental photodiode amplitude signal as recorded with the lock-in amplifier of the AFM in units of volts. Figure 1b compares the
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Published 24 Nov 2021

Nonmonotonous temperature dependence of Shapiro steps in YBCO grain boundary junctions

  • Leonid S. Revin,
  • Dmitriy V. Masterov,
  • Alexey E. Parafin,
  • Sergey A. Pavlov and
  • Andrey L. Pankratov

Beilstein J. Nanotechnol. 2021, 12, 1279–1285, doi:10.3762/bjnano.12.95

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  • shown in Figure 1. Figure 2 shows the IVCs for temperatures of 70 and 50 K in the absence of a high-frequency signal and in the regime of detecting external 72 or 265 GHz signals. The measurement results are in good agreement with the numerical simulations (the black curves). It should be noted that the
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Published 23 Nov 2021

A review on slip boundary conditions at the nanoscale: recent development and applications

  • Ruifei Wang,
  • Jin Chai,
  • Bobo Luo,
  • Xiong Liu,
  • Jianting Zhang,
  • Min Wu,
  • Mingdan Wei and
  • Zhuanyue Ma

Beilstein J. Nanotechnol. 2021, 12, 1237–1251, doi:10.3762/bjnano.12.91

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  • conversion from 3 to 70% [23]. Generally, the methods to investigate slip boundary conditions for nanoconfined liquids include theoretical analysis, physical experiments, and numerical simulations [8][24][25][26][27][28][29][30][31][32][33][34]. In recent years, machine learning methods have also been
  • force [39][40][41][42]. However, compared with experimental methods, numerical simulations, such as the lattice Boltzmann method and molecular dynamics (MD) simulation, are more attractive in many aspects. First, numerical simulations can readily reach the system sizes and timescales of practical
  • nanoflows [43]. Additionally, numerical methods can provide a controllable way to change a certain property of liquid or solid walls while other properties remain unchanged [44]. In comparison with physical experiments, numerical simulations allow researchers to study the density, velocity profiles, and
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Review
Published 17 Nov 2021

Electromigration-induced formation of percolating adsorbate islands during condensation from the gaseous phase: a computational study

  • Alina V. Dvornichenko,
  • Vasyl O. Kharchenko and
  • Dmitrii O. Kharchenko

Beilstein J. Nanotechnol. 2021, 12, 694–703, doi:10.3762/bjnano.12.55

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  • islands during condensation from the gaseous phase. We will show that the elongated morphology of adsorbate islands remains stable if the electric field is turned off. Keywords: adsorptive systems; electromigration; numerical simulations; pattern formation; thin films; Introduction The processes of
  • of adsorbate concentration on the substrate. After that, we discuss the results of numerical simulations. The main conclusions are collected in the last section. Model In order to describe the evolution of the adsorbate concentration on the first growing layer of the multilayer system during
  • strength ε extends the domain of α and k∥ in which patterning is possible. Numerical simulations In order to perform numerical simulations of the process of pattern formation during deposition we will proceed in a manner closely related to [63][64]. We will solve numerically Equation 4 on a two-dimensional
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Letter
Published 13 Jul 2021

Determination of elastic moduli of elastic–plastic microspherical materials using nanoindentation simulation without mechanical polishing

  • Hongzhou Li and
  • Jialian Chen

Beilstein J. Nanotechnol. 2021, 12, 213–221, doi:10.3762/bjnano.12.17

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  • cannot be controlled. There are no reliable theoretical or experimental methods to evaluate the mechanical behavior during nanoindentation of an elastic–plastic microsphere. Therefore, it is necessary to conduct reliable numerical simulations to evaluate this behavior. This article reports a systematic
  • the mechanical behavior during nanoindentation of a curved specimen. Therefore, it is necessary to conduct reliable numerical simulations to evaluate the mechanical behavior of nanoindentation on an elastic–plastic microspherical material. The numerical simulations are usually carried out via the
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Published 19 Feb 2021

Mapping of integrated PIN diodes with a 3D architecture by scanning microwave impedance microscopy and dynamic spectroscopy

  • Rosine Coq Germanicus,
  • Peter De Wolf,
  • Florent Lallemand,
  • Catherine Bunel,
  • Serge Bardy,
  • Hugues Murray and
  • Ulrike Lüders

Beilstein J. Nanotechnol. 2020, 11, 1764–1775, doi:10.3762/bjnano.11.159

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  • intrinsic layer allows one to meet the required electrical specifications for switches in power electronics. In order to analyse the profiles extracted from the sMIM measurements, the majority carrier concentration calculated by numerical simulations [31] for an abrupt PIN doping profile is compared with
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Published 23 Nov 2020

Seebeck coefficient of silicon nanowire forests doped by thermal diffusion

  • Shaimaa Elyamny,
  • Elisabetta Dimaggio and
  • Giovanni Pennelli

Beilstein J. Nanotechnol. 2020, 11, 1707–1713, doi:10.3762/bjnano.11.153

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  • doping parameters. These results are in good agreement with numerical simulations of the doping process applied to silicon nanowires. These devices, based on doped nanowire forests, offer a possible route for the exploitation of the high power factor of silicon, which, combined with the very low thermal
  • . Therefore, it is mandatory to perform a single-step diffusion process, which results in a nonuniform doping concentration in the nanowire. Here, we report the measurement of the Seebeck coefficient after different doping processes, and compare the measurements with numerical simulations that take into
  • several samples as a function of the nanowire length (doping at 800 °C for 10 min). Measured voltage drop (Seebeck voltage ΔVseebeck) as a function of the temperature difference between the ends of the nanowires, ΔTNW. The slope is the Seebeck coefficient of the nanowires. Numerical simulations of
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Published 11 Nov 2020

On the frequency dependence of viscoelastic material characterization with intermittent-contact dynamic atomic force microscopy: avoiding mischaracterization across large frequency ranges

  • Enrique A. López-Guerra and
  • Santiago D. Solares

Beilstein J. Nanotechnol. 2020, 11, 1409–1418, doi:10.3762/bjnano.11.125

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  • approach can help to avoid some of the mischaracterization issues discussed above, especially in combination with numerical simulations of quasi-static [14][33][34] and dynamic AFM [35] measurements, which incorporate viscoelastic models such as those depicted in Figure 1. Conclusion We have presented an
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Published 15 Sep 2020

Transition from freestanding SnO2 nanowires to laterally aligned nanowires with a simulation-based experimental design

  • Jasmin-Clara Bürger,
  • Sebastian Gutsch and
  • Margit Zacharias

Beilstein J. Nanotechnol. 2020, 11, 843–853, doi:10.3762/bjnano.11.69

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  • can be changed to the growth of laterally aligned NWs. By comparison of numerical simulations with systematic experiments, we discuss how the process parameters for freestanding SnO2 NWs have to be modified to achieve a laterally aligned NW growth mode. Experimental Substrate preparation The
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Published 28 May 2020

Current measurements in the intermittent-contact mode of atomic force microscopy using the Fourier method: a feasibility analysis

  • Berkin Uluutku and
  • Santiago D. Solares

Beilstein J. Nanotechnol. 2020, 11, 453–465, doi:10.3762/bjnano.11.37

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  • contact-mode imaging. To explore its feasibility, we derive the analytical form of the tip–sample current that would be obtained for attractive (noncontact) and repulsive (intermittent-contact) dynamic AFM characterization, and compare it with results obtained from numerical simulations. Although
  • torsional oscillations in a way that reduced cross-contamination of the signals used to reconstruct the tip–sample force. We have also reported numerical simulations of this method, providing analysis software that enables estimations of the accuracy of the method under different conditions [29]. Fourier
  • the tunnelling current was neglected. In all cases we obtained good agreement between the analytical expressions derived and the numerical simulations conducted, which suggests that a Fourier-based reconstruction of the current may be feasible. Nevertheless, it is important to point out anticipated
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Published 13 Mar 2020

Implementation of data-cube pump–probe KPFM on organic solar cells

  • Benjamin Grévin,
  • Olivier Bardagot and
  • Renaud Demadrille

Beilstein J. Nanotechnol. 2020, 11, 323–337, doi:10.3762/bjnano.11.24

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  • the photocharging time is not negligible compared to the light pulse duration. In this case, numerical simulations are necessary to properly analyze the spectroscopic SP(fmod) curves [18]. When investigating organic donor–acceptor (D–A) blends, both capacitive effects and photocharging dynamics shall
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Published 12 Feb 2020

An investigation on the drag reduction performance of bioinspired pipeline surfaces with transverse microgrooves

  • Weili Liu,
  • Hongjian Ni,
  • Peng Wang and
  • Yi Zhou

Beilstein J. Nanotechnol. 2020, 11, 24–40, doi:10.3762/bjnano.11.3

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  • microstructure, it can be divided into streamwise grooves and transverse grooves. With the development of numerical simulations and experimental techniques, the influence of microstructures on turbulent flow characteristics can be investigated accurately. Its drag reduction mechanism is owed to the two aspects
  • measured average pressure difference was compared to the result of numerical simulations at the same flow rate. Figure 9 shows the comparison of the simulated and experimental results, and the maximum relative error was less than 2.0%, which was deemed acceptable. Therefore, it could be concluded from the
  • %, which was lower than the maximum DRR of 3.84% obtained in the numerical simulations. Meanwhile, the experimental Reynolds number range associated with a drag reduction effect was smaller than that obtained in the numerical simulation (Table 4). The different results may have been caused by specimen
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Published 03 Jan 2020

Plasmonic nanosensor based on multiple independently tunable Fano resonances

  • Lin Cheng,
  • Zelong Wang,
  • Xiaodong He and
  • Pengfei Cao

Beilstein J. Nanotechnol. 2019, 10, 2527–2537, doi:10.3762/bjnano.10.243

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  • the bright mode, and each of the three resonators (cavity1, cavity2, cavity3) can generate the different dark modes. To further reveal the resonance properties, like assembling as building blocks, we performed a series of numerical simulations to discuss the mechanism of our design. Firstly, a simple
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Published 17 Dec 2019

Multiple Fano resonances with flexible tunablity based on symmetry-breaking resonators

  • Xiao bin Ren,
  • Kun Ren,
  • Ying Zhang,
  • Cheng guo Ming and
  • Qun Han

Beilstein J. Nanotechnol. 2019, 10, 2459–2467, doi:10.3762/bjnano.10.236

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  • , we have Tmax = 1. Results and Discussion Numerical simulations were performed by using COMSOL Multiphysics. The width of the waveguide is W0 = 50 nm, the gap between waveguide and resonator is g = 10 nm. The outer and inner radius of ring are R = 155 nm and r = 55 nm, respectively. The deviation
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Published 11 Dec 2019

Dynamics of superparamagnetic nanoparticles in viscous liquids in rotating magnetic fields

  • Nikolai A. Usov,
  • Ruslan A. Rytov and
  • Vasiliy A. Bautin

Beilstein J. Nanotechnol. 2019, 10, 2294–2303, doi:10.3762/bjnano.10.221

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  • .10.221 Abstract The dynamics of magnetic nanoparticles in a viscous liquid in a rotating magnetic field has been studied by means of numerical simulations and analytical calculations. In the magneto-dynamics approximation three different modes of motion of the unit magnetization vector and particle
  • , especially in the region of relatively large nanoparticle diameters. Results and Discussion The results of numerical simulations presented in Figure 4 and Figure 5 show that with an optimal choice of the particle diameters sufficiently large SAR values, of the order of 400–500 W/g can be obtained in RMFs at
  • amplitudes used in the experiments [41][43]. Indeed, in [43] the SAR values of the assembly in RMFs were measured in a fairly wide frequency range, from 100 to 800 kHz. However, the RMF amplitudes were only 1 or 2 kA/m, that is, it did not exceed 25 Oe. As our numerical simulations show, it is impossible to
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Published 22 Nov 2019

Review of time-resolved non-contact electrostatic force microscopy techniques with applications to ionic transport measurements

  • Aaron Mascaro,
  • Yoichi Miyahara,
  • Tyler Enright,
  • Omur E. Dagdeviren and
  • Peter Grütter

Beilstein J. Nanotechnol. 2019, 10, 617–633, doi:10.3762/bjnano.10.62

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  • frequency shift peak’ (tFP) by Giridharagopal and co-workers [22]. The authors demonstrated that simulated results (both numerical simulations of a damped-driven harmonic oscillator and finite element simulations) and their experimental results show excellent agreement given the same parameters and subject
  • FF-trEFM for these measurements, we performed numerical simulations (of a damped driven harmonic oscillator, see Supporting Information File 1 for MATLAB code) similar to those performed by Karatay and co-workers [51], using instead a resonance frequency varying in time as a stretched exponential and
  • for excitations with time constants of 25 ns and 100 μs are shown).” Reproduced with permission from [51], copyright 2016 AIP Publishing. Extracted FF-trEFM signals from numerical simulations of tip–sample interactions with a stretched-exponential time response (Equation 1) with various relaxation
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Published 01 Mar 2019

Heating ability of magnetic nanoparticles with cubic and combined anisotropy

  • Nikolai A. Usov,
  • Mikhail S. Nesmeyanov,
  • Elizaveta M. Gubanova and
  • Natalia B. Epshtein

Beilstein J. Nanotechnol. 2019, 10, 305–314, doi:10.3762/bjnano.10.29

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  • using numerical simulations. We take into account the influence of thermal agitation of particle magnetic moments at a room temperature and the effect of mutual magneto–dipole interaction between the nanoparticles on the assembly behavior. The aim of this paper is to estimate the SAR of magnetite
  • ][19][20][21][22][24][25]. In addition, in the calculations performed, the fractal nature [24][25][26][27] of magnetic clusters in biological media is taken into account. The numerical simulations are carried out using the Landau–Lifshitz (LL) stochastic equation [22][28][29][30][31]. It is found that
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Published 29 Jan 2019

Magnetic-field sensor with self-reference characteristic based on a magnetic fluid and independent plasmonic dual resonances

  • Kun Ren,
  • Xiaobin Ren,
  • Yumeng He and
  • Qun Han

Beilstein J. Nanotechnol. 2019, 10, 247–255, doi:10.3762/bjnano.10.23

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  • consistent with the results in [31]. If there is no disk and no stub 2, κ1d = 0 and κw2 = 0, then Equaiton 13 reduces to which is same as Equation 11. This is exactly the transmission efficiency of a one-stub system. Results and Discussion Numerical simulations were performed by using COMSOL Multiphysics to
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Published 22 Jan 2019

Electrostatic force microscopy for the accurate characterization of interphases in nanocomposites

  • Diana El Khoury,
  • Richard Arinero,
  • Jean-Charles Laurentie,
  • Mikhaël Bechelany,
  • Michel Ramonda and
  • Jérôme Castellon

Beilstein J. Nanotechnol. 2018, 9, 2999–3012, doi:10.3762/bjnano.9.279

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  • deduced by comparison of experimental data and numerical simulations, as well as the interface state of silicone dioxide layers. Keywords: atomic force microscopy; building-block materials; dielectric permittivity; electrostatic force microscopy; finite element simulation; interphases; nanocomposites
  • experimental results were compared to finite element numerical simulations, obtained with the AC–DC module, electrostatics physics interface, of the Comsol® Multiphysics software. Results and Discussion In our previous work, we verified that EFM can distinguish homogeneous from heterogeneous stacked materials
  • total particle coverage. The quantification of the dielectric permittivity of the used materials, within all types of association, was possible by comparing experimental data and numerical simulations. This paper also discussed the possibility of using the developed approaches to distinguish the
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Published 07 Dec 2018
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