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Scanning Probe microscopy of van der Waals heterostructures and non-equilibrium magnetotransport in graphene
Graphene is a two-dimensional semimetal that has linear dispersion in energy-momentum
space. When graphene is subjected to a perpendicular magnetic field, the dispersion is no
longer linear, resulting in discrete energy ...
Exploring Soft Matter and Modified-Liquid Electrolytes for Alkali metal (Li, Na) Based Rechargeable Batteries
The current upsurge in demand for high energy density batteries for applications across industries ranging from small scale portable electronics, electric automobiles to storage grids, has led to research in next generation, ...
Towards Design, Fabrication, Packaging, Integration, and Characterization of High-Performance MEMS Gyroscopes
MEMS vibratory gyroscopes are used to measure the angular rate of a body by
sensing the Coriolis force induced motion of the sensing element vibrating in a rotating
frame of reference. MEMS gyroscopes find use in a wide ...
Communication Overlapping Krylov Subspace Methods for Distributed Memory Systems
Many high performance computing applications in computational fluid dynamics, electromagnetics etc. need to solve a linear system of equations $Ax=b$. For linear systems where $A$ is generally large and sparse, Krylov ...
Mitigating Domain Shift via Self-training in Single and Multi-target Unsupervised Domain Adaptation
Though deep learning has achieved significant successes in many computer vision tasks, the state-of-the-art approaches rely on the availability of a large amount of labeled data for supervision, collection of which is ...
Gallium Oxide Vertical Power Devices - Modeling, Material Growth, and Hetero-epitaxial Integration with Silicon
𝛽-Ga2O3 is a candidate for a new generation of power semiconductors that can significantly lower the conduction losses and increase power density in the power converters. PFOM or power figure of merit (V2Br/Ron) is a ratio ...
Data Driven Stabilization Schemes for Singularly Perturbed Differential Equations
This thesis presents a novel way of leveraging Artificial Neural Network (ANN) to aid
conventional numerical techniques for solving Singularly Perturbed Differential Equation (SPDE). SPDEs are challenging to solve with ...
Assessing protein contribution to phenotypic change using short, coarse grained molecular dynamics simulations
Understanding the functional mapping between genotype and phenotype is an important problem that has ramifications for various diseases. Various existing computational methods can infer these disease-related functional ...
Abstractions and Optimizations for Data-driven Applications Across Edge and Cloud
Modern data driven applications have a novel set of requirements. Advances in deep neural networks (DNN) and computer vision (CV) algorithms have made it feasible to extract meaningful insights from large-scale deployments ...
Raman Spectroscopy on Few layer graphene
Graphene is a two-dimensional allotrope of carbon exhibiting planer honeycomb lattice
structure.1 A carbon atom in graphene makes three σ-bonds with the neighbouring atoms in the
plane and one π-bond perpendicular to the ...

