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Towards an Integrated Graphene Nano-Opto-Electro-Mechanical System
Micro-electromechanical systems (MEMS) have found extensive applications in micromechanical
sensing. The scaling of MEMS into nano-electromechanical systems (NEMS) was spurred
primarily by the expectation of higher ...
Multiscale Modeling of Quantum Transport in 2D Material Based MoS Transistors
Atomically thin 2D materials have ushered in a new era in the fi eld of nano-science and tech-
nology and have been translated to notable advancements in the design of sensors, optoelectronic
devices, exible electronics. ...
Investigation of Buffer Design and Carbon doping in AlGaN/GaN HEMTs for High Breakdown Voltages
III-nitride HEMTs are strong contenders for next-generation power electronic applications. The superior material and electrical properties render GaN-based transistors suitable for high-power switching. The material ...
Nanopore Based Single-molecule Sensors
In the past two decades nanopores have been used as highly sensitive
detection systems for exploring the properties of analytes at single molecule
resolution. The small dimensions of a nanopore permit the molecule of ...
Characterization of Divergence resulting from Workload, Memory and Control-Flow behavior in GPGPU Applications
GPGPUs have emerged as high-performance computing platforms and are used for boosting
the performance of general non-graphics applications from various scientifi c domains. These
applications span varied areas like social ...
Normally off AlxGa(1-x)N/GaN devices: Materials, process and device architecture innovations
AlxGa(1-x)N/GaN HEMTs find applications in power electronics systems as high-frequency power switches. The formation of a highly mobile 2 dimensional electron gas (2DEG) at a heterointerface in an otherwise insulating wide ...
Advances in High Dynamic Range Imaging Using Deep Learning
Natural scenes have a wide range of brightness, from dark starry nights to bright sunlit beaches. Our human eyes can perceive such a vast range of illumination through various adaptation techniques, thus allowing us to ...
Band-matched transport layers and intrinsically stable perovskite solar cells for application to perovskite Si tandem cells
Hybrid perovskite/silicon tandem solar cells offer low-cost alternatives to the commercially established silicon solar cells. In this thesis, we present the material and device optimizations of the subcells that can be ...
Optimization of Traversal Queries on Distributed Graph Stores
In this era of Big Data Analytics, much of the semi-structured data has inherent interconnectivity
between representative entities. These are increasingly being modeled as property graphs
because of the semantic advantages ...
Deep Visual Representations: A study on Augmentation, Visualization, and Robustness
Deep neural networks have resulted in unprecedented performances for various learning tasks. Particularly,
Convolutional Neural Networks (CNNs) are shown to learn representations that can efficiently
discriminate hundreds ...