Research
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Spacer Optimization using a Neuro-Pso Approach for Improving FinFET Repeater Performance in On-Chip Global MLGNR Interconnects
Abstract
Spacers are often used in fin-shaped field effect transistors (FinFETs) to increase the ON current at the cost of higher parasitic capacitances. In this paper, a neural network assisted particle swarm optimization technique called neuro...
Publication · 3d
Machine Learning Augmented Compact Modeling for Simultaneous Improvement in Computational Speed and Accuracy
Abstract
In this article, we have presented the use of prior physics knowledge-based artificial neural networks (KBANNs) to improve the simulation speed and accuracy of compact models for circuit simulations. Multiple architectures such as sourc...
Publication · 3d
A Fast Metalearning Algorithm for Neural Network Enabled Uncertainty Quantification of Graphene Based Interconnects with Passive Shielding
Abstract
Inserting passive shield lines in between the active and victim conductors has become a standard approach for mitigating the crosstalk effects in multi-walled carbon nanotube (MWCNT) and multilayer graphene nanoribbon (MLGNR) interconne...
Publication · 3d
A Space Mapping Augmented Compact Model for Uncertainty Quantification of GaN HEMT Devices and Circuits in the Presence of Trap Effects
Abstract
In this article, an artificial neural network (ANN) augmented compact model is developed for the fast uncertainty quantification (UQ) of GaN high electron mobility transistors (HEMTs). The proposed model consists of a space mapping neur...
Publication · 3d
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 CrMnS<inf>2</inf>I<inf>2</inf> monolayer using the method of density functional theory. The external electric field of 0.5 eV/Å is applied in the z-direction and ...
Publication · 3d
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 · 3d
Impact of Scaling on Large Crossbar Arrays for Neuromorphic Applications
Abstract
Large-scale crossbar arrays form the functional building block for neural networks that perform efficient inmemory computing with massive parallelism. In this paper, the impact of scaling of nano interconnects in large-sized crossbar ar...
Publication · 3d
Combining Prior Knowledge With Transfer Learning (PKID-TL) for Fast Neural Network Enabled Uncertainty Quantification of Graphene On-Chip Interconnects
Abstract
In this article, an artificial neural network (ANN)-enabled uncertainty quantification (UQ) technique is developed for graphene on-chip interconnects. In the proposed technique, primary ANNs are trained to emulate the signal integrity (...
Publication · 3d