Vortex lattices of layered HTSCs at different vortex–vortex interaction potentials

• Valerii P. Lenkov,
• Anastasia N. Maksimova,
• Anna N. Moroz and
• Vladimir A. Kashurnikov

Beilstein J. Nanotechnol. 2025, 16, 362–370, doi:10.3762/bjnano.16.27

• using the Monte Carlo method within the framework of a two-dimensional model of a layered high-temperature superconductor. Interaction potentials close to the potential applicable in superconductors with the Ginzburg–Landau parameter κ = 1/2 (intertype superconductors) and in ferromagnetic

• superconductors have been analyzed. Clustering of the vortex system is demonstrated. The melting of a vortex lattice with increasing temperature has been studied. Keywords: high-temperature superconductor; HTSC; intertype superconductors; Monte Carlo method; vortex lattice; vortex–vortex interaction potential

• transport properties. Therefore, it is of interest to study the magnetization reversal processes in a sample under conditions that allow for vortex clustering. Additionally, the process becomes more complicated in the presence of pinning centers. An effective method for research is the Monte Carlo method

Exploring the relationships between physiochemical properties of nanoparticles and cell damage to combat cancer growth using simple periodic table-based descriptors

• Joyita Roy and
• Kunal Roy

Beilstein J. Nanotechnol. 2024, 15, 297–309, doi:10.3762/bjnano.15.27

• models. It is important to note that a direct comparison with a previous study by Toropova [27] is not possible because of the different data division methods (five random splits), the use of different types of descriptors (optimal nano-descriptors), and the dissimilar modeling methods (Monte Carlo

• method). However, it is clear that the statistical metric values for the developed model in the present study are similar to those of the previous study (the best-split results only shown) as presented in Table 2. Furthermore, we have proposed an effective mechanism to treat cancerous cells with the cell

Gas sorption porosimetry for the evaluation of hard carbons as anodes for Li- and Na-ion batteries

• Yuko Matsukawa,
• Fabian Linsenmann,
• Maximilian A. Plass,
• George Hasegawa,
• Katsuro Hayashi and
• Tim-Patrick Fellinger

Beilstein J. Nanotechnol. 2020, 11, 1217–1229, doi:10.3762/bjnano.11.106

• appears to be more reasonable. Pore size distributions of the HT carbons derived from CO2 sorption data using the Monte Carlo method were centered around 0.5 nm with less abundant larger pores between 0.7 and 1.5 nm (Figure 2b). RF-1600 does not have pores smaller than 0.5 nm with main porosity

• generally rather similar, like in the case of CO2 sorption. The results illustrate the ambiguous assignment of pore sizes for CO2 and H2O sorption measurements. However, the Monte Carlo method is an advanced model compared to the Mahle model, resulting in higher reliability in reflecting the pore system for

• calculated using the Brunauer–Emmett–Teller (BET) method. The pore size distribution was obtained from CO2 adsorption measurements using the Monte Carlo method. The isotherms of H2O adsorption were used to estimate the pore size distribution using the equation reported by Wang et al. [34], which is based on

SO₂ gas adsorption on carbon nanomaterials: a comparative study

• Deepu J. Babu,
• Divya Puthusseri,
• Frank G. Kühl,
• Sherif Okeil,
• Michael Bruns,
• Manfred Hampe and
• Jörg J. Schneider

Beilstein J. Nanotechnol. 2018, 9, 1782–1792, doi:10.3762/bjnano.9.169

• physisorption was theoretically studied by Furmaniak and co-workers [42]. Using the hyper-parallel tempering Monte Carlo method, they found that the influence of the oxygen functionalities is more pronounced at lower relative pressures (P/P0 < 0.3) and attributed it to the increase in the adsorption energy

Fixation mechanisms of nanoparticles on substrates by electron beam irradiation

• Daichi Morioka,
• Tomohiro Nose,
• Taiki Chikuta,
• Kazutaka Mitsuishi and
• Masayuki Shimojo

Beilstein J. Nanotechnol. 2017, 8, 1523–1529, doi:10.3762/bjnano.8.153

• calculation of fixing area The Monte Carlo method is a technique to reproduce a physical situation using random numbers [11]. In short, the basics of the simulation, the details of which are written elsewhere [11][12], are as follows: The relation between the mean free path λ and the scattering cross section

Continuum models of focused electron beam induced processing

• Milos Toth,
• Charlene Lobo,
• Vinzenz Friedli,
• Aleksandra Szkudlarek and
• Ivo Utke

Beilstein J. Nanotechnol. 2015, 6, 1518–1540, doi:10.3762/bjnano.6.157

• molecules from the substrate. Simulation method The physics behind the GIS simulator is described in detail in [31][33][46] and we give only a brief summary here. The code is based on the so called test-particle Monte Carlo method, which works in the molecular and transient flow regimes. The molecule flux

• collisions occur only with the inner tube wall. However, it was shown experimentally [31] and by comparison with direct simulation Monte Carlo [33] that the test-particle Monte Carlo method with intermolecular collisions gives excellent results in the following way (points 3 and 4 are simplifications, which

Current–voltage characteristics of manganite–titanite perovskite junctions

• Benedikt Ifland,
• Patrick Peretzki,
• Birte Kressdorf,
• Philipp Saring,
• Andreas Kelling,
• Michael Seibt and
• Christian Jooss

Beilstein J. Nanotechnol. 2015, 6, 1467–1484, doi:10.3762/bjnano.6.152

• , frequently resulting in a pear-shaped generation volume [53]. This shape mainly depends on the initial electron energy, which is determined by the beam acceleration voltage and the density of the solid. It can be described by an analytical function [53] or simulated by a Monte Carlo method [54]. In this work

Simulation of electron transport during electron-beam-induced deposition of nanostructures

• Francesc Salvat-Pujol,
• Harald O. Jeschke and
• Roser Valentí

Beilstein J. Nanotechnol. 2013, 4, 781–792, doi:10.3762/bjnano.4.89

• properties, from insulating to metallic [16][23]. Our aim is to determine a spatially resolved picture of the growth conditions created by the electron beam within and above a SiO2 substrate as well as within and above WxCyOz deposits of various thicknesses. Description of the simulation The Monte Carlo

• method for the simulation of radiation transport is a numerical means of solving the Boltzmann transport equation in an arbitrary geometry. The computer code system PENELOPE yields trajectories of primary and secondary particles according to state-of-the-art interaction cross sections on sample

Nanolesions induced by heavy ions in human tissues: Experimental and theoretical studies

• Marcus Bleicher,
• Lucas Burigo,
• Marco Durante,
• Maren Herrlitz,
• Michael Krämer,
• Igor Mishustin,
• Iris Müller,
• Francesco Natale,
• Igor Pshenichnov,
• Stefan Schramm,
• Gisela Taucher-Scholz and
• Cathrin Wälzlein

Beilstein J. Nanotechnol. 2012, 3, 556–563, doi:10.3762/bjnano.3.64

• less compact state (high GC content) could be a more favorable environment for γH2AX spreading than highly compact heterochromatin [14]. MCHIT simulations of microdosimetry distributions The Monte Carlo method is a convenient technique to account for the interactions of beam nuclei and all secondary

• data are almost nonexistent in this region, even in gases, let alone in condensed phase. To improve on this situation, at least from the computational side, we apply our simulation code TRAX [7], constantly developed at GSI over several years. It uses the single interaction Monte Carlo method, rather