scholarly journals Electrical conductance of two-dimensional composites with embedded rodlike fillers: An analytical consideration and comparison of two computational approaches

2019 ◽  
Vol 125 (13) ◽  
pp. 134902 ◽  
Author(s):  
Yuri Yu. Tarasevich ◽  
Irina V. Vodolazskaya ◽  
Andrei V. Eserkepov ◽  
Renat K. Akhunzhanov
2005 ◽  
Vol 40 (5) ◽  
pp. 463-476 ◽  
Author(s):  
M Ciavarella ◽  
G Demelio ◽  
C Murolo

In this paper, a numerical algorithm is developed to solve the elastic contact problem accurately for two-dimensional rough surfaces. A first version of the method gives a full numerical solution for the discrete problem with all the details of the profile included, and the second version simulates approximately the roughness on a smaller scale with the presence of a non-linear elastic layer (as in the classical Winkler foundation model). In the literature, usually the solution of line contact is given by assuming displacements relative to a datum point, to overcome the difficulty that in two dimensions the displacements are undefined to an arbitrary constant. In the present work, the compliance matrix of the elastic half-plane is calculated starting from a self-equilibrated load distribution with periodic boundary conditions. Some examples are shown to validate the methods. Finally, the method is applied to discuss previous results by the present authors on rough contact problems defined by Weierstrass series profiles, and a discussion follows. In particular, it is found that the Winkler non-linear layer model is surprisingly useful for evaluating the electrical conductance, since (at least in the limited case of two superposed sinusoids) it does not require the wavelength and amplitude of the microscopic component of roughness to be much smaller than the macroscopic component. Some aspects of the mutual role of various components of roughness in the compliance and conductance are elucidated by means of example cases.


Author(s):  
Ayaka Kato ◽  
Yoshihiko Kunisato ◽  
Kentaro Katahira ◽  
Tsukasa Okimura ◽  
Yuichi Yamashita

AbstractThe field of computational psychiatry is growing in prominence along with the recent advances in computational neuroscience, machine learning, and the cumulative scientific evidence of psychiatric disorders. Computational approaches provide an understanding of disorders using psychological and neuroscience terms and help to determine treatment protocols based on high-dimensional data. However, the multidisciplinary nature of this field seems to limit the development of computational psychiatry studies. Computational psychiatry combines knowledge from neuroscience, psychiatry, and computation; thus, there is an emerging need for a platform to integrate and coordinate these perspectives. In this study, we developed a new database for visualizing research papers as a two-dimensional “map” called the Computational Psychiatry Research Map (CPSYMAP). This map shows the distribution of papers along neuroscientific, psychiatric, and computational dimensions to enable anyone to find niche research and deepen their understanding of the field.


Author(s):  
Hatef Sadeghi ◽  
Sara Sangtarash

Given the compatibility of silicene with existing semiconductor techniques, and a need for new materials to continue Moore's low, it is natural to ask if this material can form a platform as field effect transistor. Here we provide analytical models to study the electrical properties of two dimensional silicene such as electrical conductance, carrier concentration, mobility and magneto-conductance. Furthermore, we show that silicene nanoribbons and nanopores can be used as a discriminating sensor for DNA sequencing and for efficient thermoelectric power generation.


1999 ◽  
Vol 10 (2) ◽  
pp. 157-184 ◽  
Author(s):  
R. KUSKE ◽  
P. MILEWSKI

New modulation equations for hexagonal patterns in reaction–diffusion systems are derived for parameter régimes corresponding to the onset of patterns. These systems include additional nonlinearities which are not present in Rayleigh–Bénard convection or Swift–Hohenberg type models. The dynamics of hexagonal and roll patterns are studied using a combination of analytical and computational approaches which exploit the hexagonal structure of the modulation equations. The investigation demonstrates instabilities and new phenomena not found in other systems, and is applied to patterns of flame fronts in a certain model of burner stabilized flames.


Author(s):  
D J Ellam ◽  
R J Atkin ◽  
W A Bullough

Two-dimensional (orthogonal) steady isothermal flows of a Bingham plastic between two plates, one moving and the other stationary, are discussed. This is done principally to examine and quantify the concept of cooling a smart clutch by throughflow. The fluid is modelled conventionally as an ideal Bingham plastic to verify the subsequent use of a computational fluid dynamics (CFD) package for similar flows in more complex situations but with a futuristic view to including heat transfer, electrical conductance, thermal and shear rate effects on fluid properties, and unsteady motion. The CFD (Fluent) package incorporates a user-defined subroutine facility which allows non-Newtonian constitutive models to be incorporated. Both radial and concentric geometries are considered. The two approaches (conventional analysis and CFD) are seen to complement one another.


2020 ◽  
Vol 12 (1) ◽  
Author(s):  
Karim Khan ◽  
Ayesha Khan Tareen ◽  
Muhammad Aslam ◽  
Rizwan Ur Rehman Sagar ◽  
Bin Zhang ◽  
...  

AbstractThe successful photo-catalyst library gives significant information on feature that affects photo-catalytic performance and proposes new materials. Competency is considerably significant to form multi-functional photo-catalysts with flexible characteristics. Since recently, two-dimensional materials (2DMs) gained much attention from researchers, due to their unique thickness-dependent uses, mainly for photo-catalytic, outstanding chemical and physical properties. Photo-catalytic water splitting and hydrogen (H2) evolution by plentiful compounds as electron (e−) donors is estimated to participate in constructing clean method for solar H2-formation. Heterogeneous photo-catalysis received much research attention caused by their applications to tackle numerous energy and environmental issues. This broad review explains progress regarding 2DMs, significance in structure, and catalytic results. We will discuss in detail current progresses of approaches for adjusting 2DMs-based photo-catalysts to assess their photo-activity including doping, hetero-structure scheme, and functional formation assembly. Suggested plans, e.g., doping and sensitization of semiconducting 2DMs, increasing electrical conductance, improving catalytic active sites, strengthening interface coupling in semiconductors (SCs) 2DMs, forming nano-structures, building multi-junction nano-composites, increasing photo-stability of SCs, and using combined results of adapted approaches, are summed up. Hence, to further improve 2DMs photo-catalyst properties, hetero-structure design-based 2DMs’ photo-catalyst basic mechanism is also reviewed.


2019 ◽  
Vol 21 (8) ◽  
pp. 4624-4632 ◽  
Author(s):  
Bakhtiar Ul Haq ◽  
S. AlFaify ◽  
A. Laref

Advanced computational approaches have made the design and characterization of novel two-dimensional (2D) materials possible for applications in cutting-edge technologies.


2020 ◽  
Vol 25 ◽  
pp. 101606
Author(s):  
Yi-min Ding ◽  
Huilong Dong ◽  
Hongxia Zhong ◽  
Juan Xie ◽  
Nopporn Rujisamphan ◽  
...  

Nanoscale ◽  
2020 ◽  
Vol 12 (9) ◽  
pp. 5578-5586 ◽  
Author(s):  
Xiaofeng Liu ◽  
Zijing Ding ◽  
Jie Liu ◽  
Wei Hu ◽  
Jinlong Yang

Two dimensional Ca4N2 can serve as a one-dimensional electride [Ca4N2]2+·2e− with anionic electrons confined in the surface channels and possess high electrical conductance.


2020 ◽  
Vol 11 ◽  
Author(s):  
Ayaka Kato ◽  
Yoshihiko Kunisato ◽  
Kentaro Katahira ◽  
Tsukasa Okimura ◽  
Yuichi Yamashita

The field of computational psychiatry is growing in prominence along with recent advances in computational neuroscience, machine learning, and the cumulative scientific understanding of psychiatric disorders. Computational approaches based on cutting-edge technologies and high-dimensional data are expected to provide an understanding of psychiatric disorders with integrating the notions of psychology and neuroscience, and to contribute to clinical practices. However, the multidisciplinary nature of this field seems to limit the development of computational psychiatry studies. Computational psychiatry combines knowledge from neuroscience, psychiatry, and computation; thus, there is an emerging need for a platform to integrate and coordinate these perspectives. In this study, we developed a new database for visualizing research papers as a two-dimensional “map” called the Computational Psychiatry Research Map (CPSYMAP). This map shows the distribution of papers along neuroscientific, psychiatric, and computational dimensions to enable anyone to find niche research and deepen their understanding ofthe field.


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