Research
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Deep Learning-Based Fast BSIM-CMG Parameter Extraction for General Input Dataset
Abstract
A deep learning (DL) technique to extract the set of Berkeley short-channel IGFET model-common multigate (BSIM-CMG) compact model parameters directly from experimental capacitance–voltage ( Cgg – Vg) and current–voltage ( Id ,– Vg) meas...
Publication · 6h
Theoretical Insights of the Photocatalytic and Hydrogen Storage Ability of Two-Dimensional (2-D) MoSe (MX) and MoSSe (MXY) ( = Se, = S) ML Using DFT Study
Abstract
Two-dimensional (2-D) material-based photocatalysts are promising candidates for generating hydrogen like clean fuel to contribute toward a sustainable environment. In this study, the electronic (optical) properties of MoSe2 (MX2) and M...
Publication · 6h
Study of Enhanced Ferromagnetic Behavior of Mn-Doped 2D Janus Cr2S2I2 Monolayer
Abstract
In this work, we report the first-principle based study of the electronic properties of Mn-doped Cr2S2I2 (CrMnS2I2) monolayer for possible applications in various spin devices. The electric field (0.5 eV/Å) and compressive strain (5%) a...
Publication · 6h
Machine Learning-Assisted Multiobjective Optimization of Advanced Node Gate-All-Around Transistor for Logic and RF Applications
Abstract
In this work, using multiobjective optimization (MOO) technique, design optimization of a gate-all-around field-effect transistor (GAAFET) has been performed for improved device logic and RF parameters. By using fast and accurate machin...
Publication · 6h
Impact of Electric Field on the Perpendicular Magnetic Anisotropy of CrMnS₂I₂ Monolayer- A DFT Perspective
Abstract
In this study, we have highlighted the electro-magnetic properties of the CrMnS2I2 monolayer using the method of density functional theory. The external electric field of 0.5 eV/Å is applied in the z-direction and the perpendicular magn...
Publication · 6h
Metalearning Based Adaptive Compact Modeling Framework for Advanced Transistors across Technology Nodes
Abstract
This paper presents an adaptive and automated device modeling framework valid across different technology nodes and device structures. A novel metalearning-based surrogate model using Prior Knowledge Input with Difference Artificial Neu...
Publication · 6h
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