etd AT Indian Institute of Science: Recent submissions
Now showing items 1121-1140 of 7198
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New tools to constrain EFTs and CFTs
In this thesis, we develop new methods for the S matrix bootstrap in the context of 2-2 scattering amplitudes and four-point correlators in conformal field theories (CFTs). For 2-2 scattering in quantum field theories, ... -
Active matter: chirality, translational order, and interfaces
My PhD work is on chiral active matter with solid and fluid directions, dynamics of the interface of a nonconserved chiral order parameter in an active system, flocking on curved manifolds and field-driven colloids in ... -
2D Piezotronics: Performance to Functionality
In the pursuit of interactive electronic devices, there is a need for smart materials which can serve multiple functionalities. 2D (two-dimensional) layered materials have gained attention in semiconductor technology because ... -
Constraining the Lithium Seawater Mass and Isotope Budget: Diagenetic Processes Through Marine Pore Waters
Silicate weathering consumes CO2 and controls cation fluxes to the ocean, thus playing a critical role in modulating long-term seawater chemistry and climate. There are very few markers of seawater chemistry whose value ... -
Investigating the role of miR-198 in oral squamous cell carcinoma pathogenesis
Evidence supports the critical role of microRNA (miRNA) dysregulation in several diseases including cancers. The aberrant expression of numerous tumor suppressor and oncogenic miRNAs is a well-established driving factor ... -
Development of Spatio-Temporal Multi-Task Assignment Approaches for Perimeter Defense Problem
Rapidly evolving technologies in the autonomous operation of Uninhabited Aerial Vehicles (UAVs) and associated developments in low-cost sensors have created significant interest among researchers in using them for various ... -
Automatic speech recognition for low-resource Indian languages
Building good models for automatic speech recognition (ASR) requires large amounts of annotated speech data. Recent advancements in end-to-end speech recognition have aggravated the need for data. However, most Indian ... -
Opacity and its Trade-offs with Security in Linear Dynamical Systems
Opacity is notion of privacy that is well-studied in computer science and discrete-event systems. In our work, we extend the opacity notion to linear dynamical systems. Opacity describes an eavesdropper’s inability to ... -
Efficient Constructions of Streaming Codes
Streaming codes are a class of erasure codes that operate on a stream of packets and enable recovery of dropped or erased packets under a decoding-delay constraint. The primary focus of this thesis is on providing constructions ... -
Coding Schemes for Secure and Reliable DNA-Based Data Storage
In DNA-based data storage, the desired information is encoded into the quaternary sequence of synthetic DNA molecules, called oligos. We look at secure communication via information-containing oligos in the usual three-party ... -
N-Heterocyclic Carbene-Catalyzed Synthesis of Oxazolones, e-Lactones and N-N Axially Chiral Molecules
The diverse reactivity of N-heterocyclic carbenes (NHCs) in organocatalysis is due to the possibility of different modes of action. Although NHC-bound enolates and dienolates were well-known, the NHC-bound cross-conjugated ... -
Shear Behaviour of GCL-Sand Interrfaces under Static and Dynamic Conditions
Geosynthetic clay liners (GCL) are unique geocomposites that combine the beneficial properties of bentonite clay and geosynthetics in providing effective hydraulic barriers in landfill systems. In landfills, GCLs form ... -
Development of patient-derived tumor models toward understanding disease biology and drug screening
Cancer is a complex disease of uncontrolled cell proliferation, which cripples the normal functioning of tissues. According to GLOBOCAN 2020, an estimated 19.3 million new cancer cases and around 10 million cancer deaths ... -
Investigation of Optical and Electro-optical Effects at Material Interfaces
The key questions addressed in this thesis are related to light-matter interactions at the material interfaces and are related to both plasmonic as well as Pockels effects. Plasmonics enables the design of compact photonic ... -
Methanol Synthesis from Simulated Bio-syngas: Experimental and Modeling Studies
Methanol is increasingly being considered as an alternative fuel due to its potential to reduce environmental pollution and its ability to be used directly in internal combustion engines without any engine modification. ... -
Rice transcription factors OsMADS2 and OsMADS4 regulate floret organ development: Deciphering their gene targets, traits and functions related to their unequal genetic redundancy
Organs in modern dicot flowers are positioned in concentric rings (whorls). The outermost whorl has green protective sepals, internal to which are showy petals, and the reproductive stamen and carpel whorls. Florets of ... -
A Monolithic Finite Element Formulation for Magnetohydrodynamics Involving a Compressible Fluid
This work develops a new monolithic finite-element-based strategy for Magnetohydrodynamics (MHD) involving a compressible fluid based on a continuous velocity-pressure formulation. The entire formula- tion is within a ... -
Neuronal complex bursts and network information transfer in the hippocampus are robust to biophysical heterogeneities
Biological entities must adopt mechanisms to override the impact of external perturbations to achieve stability and robustness. A crucial feature of biological systems is that they exhibit several forms of heterogeneities ... -
Opto-electronic Properties of a Few Dimensionally Controlled Hybrid Halides and Related Systems
To mitigate the adverse environmental effects of burning fossil fuels, it became necessary to explore alternative ‘clean’ renewable energy sources to meet the ever-increasing energy demands. While silicon-based solar cell ... -
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 ...