A predictive model for high-frequency operation of two-dimensional transistors from first-principles

2020 ◽  
Vol 128 (23) ◽  
pp. 234502
Author(s):  
Biswapriyo Das ◽  
Santanu Mahapatra
Keyword(s):  
Predictive Model ◽  
First Principles ◽  
High Frequency ◽  
Two Dimensional ◽  
High Frequency Operation

First-Principles Evaluation of the Potential of Borophene as a Monolayer Transparent Conductor

2017 ◽  
Author(s):  
Lyudmyla Adamska ◽  
Sridhar Sadasivam ◽  
Jonathan J. Foley ◽  
Pierre Darancet ◽  
Sahar Sharifzadeh
Keyword(s):  
First Principles ◽  
Density Functional ◽  
State Of The Art ◽  
Transparent Electrode ◽  
Visible Range ◽  
Two Dimensional ◽  
Transparent Conductor ◽  
Many Body ◽  
Functional Theory ◽  
Many Body Perturbation Theory

Two-dimensional boron is promising as a tunable monolayer metal for nano-optoelectronics. We study the optoelectronic properties of two likely allotropes of two-dimensional boron using first-principles density functional theory and many-body perturbation theory. We find that both systems are anisotropic metals, with strong energy- and thickness-dependent optical transparency and a weak (<1%) absorbance in the visible range. Additionally, using state-of-the-art methods for the description of the electron-phonon and electron-electron interactions, we show that the electrical conductivity is limited by electron-phonon interactions. Our results indicate that both structures are suitable as a transparent electrode.

High-Temperature High-Frequency Operation of Single and Multiple Quantum Well InGaAs Semiconductor Lasers

2000 ◽  
Author(s):  
William J. Siskaninetz ◽  
Hank D. Jackson ◽  
James E. Ehret ◽  
Jeffrey C. Wiemeri ◽  
John P. Loehr
Keyword(s):  
High Temperature ◽  
Quantum Well ◽  
Semiconductor Lasers ◽  
High Frequency ◽  
Multiple Quantum Well ◽  
Multiple Quantum ◽  
High Frequency Operation

Despeckling of Sar Images Using Shrinkage of Two-Dimensional Discrete Orthonormal S-Transform

2020 ◽  
pp. 2150023
Author(s):  
Priya R. Kamath ◽  
Kedarnath Senapati ◽  
P. Jidesh
Keyword(s):  
High Frequency ◽  
Low Frequency ◽  
Relevant Information ◽  
Detection Algorithm ◽  
Two Dimensional ◽  
Sar Images ◽  
S Transform ◽  
Processing Step ◽  
Frequency Components ◽  
Shock Filter

Speckles are inherent to SAR. They hide and undermine several relevant information contained in the SAR images. In this paper, a despeckling algorithm using the shrinkage of two-dimensional discrete orthonormal S-transform (2D-DOST) coefficients in the transform domain along with shock filter is proposed. Also, an attempt has been made as a post-processing step to preserve the edges and other details while removing the speckle. The proposed strategy involves decomposing the SAR image into low and high-frequency components and processing them separately. A shock filter is used to smooth out the small variations in low-frequency components, and the high-frequency components are treated with a shrinkage of 2D-DOST coefficients. The edges, for enhancement, are detected using a ratio-based edge detection algorithm. The proposed method is tested, verified, and compared with some well-known models on C-band and X-band SAR images. A detailed experimental analysis is illustrated.

First-principles study of two-dimensional bilayer GaN: structure, electronic properties and temperature effect

2019 ◽  
Vol 58 (SC) ◽  
pp. SCCB35 ◽  
Author(s):  
Tomoe Yayama ◽  
Anh Khoa Augustin Lu ◽  
Tetsuya Morishita ◽  
Takeshi Nakanishi
Keyword(s):  
Temperature Effect ◽  
Electronic Properties ◽  
First Principles ◽  
Two Dimensional ◽  
First Principles Study
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