scholarly journals Invisibility concentrator based on van der Waals semiconductor α-MoO3

Nanophotonics ◽  
2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Tao Hou ◽  
Sicen Tao ◽  
Haoran Mu ◽  
Qiaoliang Bao ◽  
Huanyang Chen
Keyword(s):  
Dielectric Constant ◽  
Thin Layer ◽  
Van Der Waals ◽  
Analytical Calculation ◽  
Layered Materials ◽  
Transformation Optics ◽  
Energy Concentration ◽  
Illusion Effect ◽  
Resonance Frequencies ◽  
Fabry Perot

Abstract By combining transformation optics and van der Waals layered materials, an invisibility concentrator with a thin layer of α-MoO3 wrapping around a cylinder is proposed. It inherits the effects of invisibility and energy concentration at Fabry–Pérot resonance frequencies, with tiny scattering. Due to the natural in-plane hyperbolicity in α-MoO3, the challenges of experimental complexity and infinite dielectric constant can be resolved perfectly. Through analytical calculation and numerical simulations, the relevant functionalities including invisibility, energy concentration and illusion effect of the designed device are confirmed, which provides guidelines for the subsequent experimental verification in future.

scholarly journals Evaluation of van der Waals density functionals for layered materials

2018 ◽  
Vol 2 (3) ◽  
Author(s):  
Sherif Abdulkader Tawfik ◽  
Tim Gould ◽  
Catherine Stampfl ◽  
Michael J. Ford
Keyword(s):  
Van Der Waals ◽  
Layered Materials ◽  
Density Functionals

PREDICTION OF SHIELDING EFFECTIVENESS OF CEMENT-GRAPHITE POWDER USING ARTIFICIAL NEURAL NETWORK

2016 ◽  
Vol 78 (6-2) ◽  
Author(s):  
See Khee Yee ◽  
Samsul Haimi Dahlan ◽  
Mohd Zarar Mohd Jenu ◽  
Chee Kiong Sia
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Dielectric Constant ◽  
Loss Tangent ◽  
Analytical Calculation ◽  
Graphite Powder ◽  
Dielectric Measurement ◽  
Shielding Effectiveness ◽  
Dielectric Constant And Loss ◽  
Artificial Neural

This paper presents the method to predict the shielding effectiveness of cement powder mixed with different amount of graphite powder. Cement mixed with different percentage of graphite is prepared. Their dielectric constant and loss tangent are measured based on the transmission/reflection technique using APC7 connector. The measured data is fed into Artificial Neural Network (ANN) for training. When the training process is completed the neural network is used to predict the dielectric constant and loss tangent of cement-graphite mixture that contains different amount of graphite. The comparison shows that the trained neural network is very successful to predict the dielectric constant and loss tangent of cement-graphite mixture. The proposed graphical user interface has made the process of shielding effectiveness prediction becomes more user friendly especially for those designers who are not familiar with the analytical calculation of shielding effectiveness and dielectric measurement.

The potential for fast van der Waals computations for layered materials using a Lifshitz model

2D Materials ◽  
2017 ◽  
Vol 4 (2) ◽  
pp. 025005 ◽  
Author(s):  
Yao Zhou ◽  
Lenson A Pellouchoud ◽  
Evan J Reed
Keyword(s):  
Van Der Waals ◽  
Layered Materials

scholarly journals A practical guide for crystal growth of van der Waals layered materials

2020 ◽  
Vol 128 (5) ◽  
pp. 051101 ◽  
Author(s):  
Andrew F. May ◽  
Jiaqiang Yan ◽  
Michael A. McGuire
Keyword(s):  
Crystal Growth ◽  
Van Der Waals ◽  
Layered Materials ◽  
Practical Guide

Probing Effective Out‐of‐Plane Piezoelectricity in van der Waals Layered Materials Induced by Flexoelectricity

Small ◽  
2019 ◽  
Vol 15 (46) ◽  
pp. 1903106 ◽  
Author(s):  
Xiang Wang ◽  
Anyang Cui ◽  
Fangfang Chen ◽  
Liping Xu ◽  
Zhigao Hu ◽  
...  
Keyword(s):  
Van Der Waals ◽  
Layered Materials ◽  
Out Of Plane

scholarly journals Lowering of TC in van der Waals Layered Materials Under In-Plane Strain

2020 ◽  
pp. 1-1
Author(s):  
Sabine M. Neumayer ◽  
Michael A. Susner ◽  
Michael McGuire ◽  
Sokrates T. Pantelides ◽  
Sergiy Kalnaus ◽  
...  
Keyword(s):  
Plane Strain ◽  
Van Der Waals ◽  
Layered Materials

Photo-induced Contraction of Layered Materials

MRS Advances ◽  
2018 ◽  
Vol 3 (6-7) ◽  
pp. 333-338
Author(s):  
Hiroyuki Kumazoe ◽  
Aravind Krishnamoorthy ◽  
Lindsay Bassman ◽  
Fuyuki Shimojo ◽  
Rajiv K. Kalia ◽  
...  
Keyword(s):  
Van Der Waals ◽  
Optical Excitation ◽  
Layered Materials ◽  
Van Der Waals Interactions ◽  
Electronic Charge ◽  
Quantum Molecular Dynamics ◽  
Covalent Bonds ◽  
Coulombic Interactions ◽  
Hydrogen Bond Interactions ◽  
The Impact

ABSTRACTUltrafast atomic dynamics induced by electronic and optical excitation opens new possibilities for functionalization of two-dimensional and layered materials. Understanding the impact of perturbed valence band populations on both the strong covalent bonds and relatively weaker van der Waals interactions is important for these anisotropic systems. While the dynamics of strong covalent bonds has been explored both experimentally and theoretically, relatively fewer studies have focused on the impact of excitation on weak bonds like van der Waals and hydrogen-bond interactions. We perform non-adiabatic quantum molecular dynamics (NAQMD) simulations to study photo-induced dynamics in MoS2 bilayer. We observe photo-induced non-thermal contraction of the interlayer distance in the MoS2 bilayer within 100 femtoseconds after photoexcitation. We identify a large photo-induced redistribution of electronic charge density, whose Coulombic interactions could explain the observed inter-layer contraction.

scholarly journals Interfacial Engineering of Van der Waals Coupled 2D Layered Materials

2017 ◽  
Vol 4 (9) ◽  
pp. 1601054 ◽  
Author(s):  
Hao Hong ◽  
Can Liu ◽  
Ting Cao ◽  
Chenhao Jin ◽  
Shaoxin Wang ◽  
...  
Keyword(s):  
Van Der Waals ◽  
Layered Materials ◽  
Interfacial Engineering ◽  
2D Layered Materials
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