etd AT Indian Institute of Science: Recent submissions
Now showing items 161-180 of 7100
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Mechanics of Flat-punch Indentation of Metallic Honeycombs Using High-fidelity Continuum FE Simulations
Metallic honeycombs and foams are widely used in the automotive and aerospace industries due to their desirable mechanical properties such as light-weight, high and tailorable specific stiffness, high specific strength, ... -
Evaluation of Air Blast Swirl Injector: Flow-Field Hybrid RANS-LES Studies And Coupling With RANS Spray Characterization Colligating Global Combustor Characteristics-A Novel Exploration
The injector plays a critical role in combustion efficiency, flame stability, ignition, and combustor exit profile. The protocol of designing future engines meeting the requirements of lower emissions, noise, and the use ... -
Photoluminescent Lanthanocholate Gel-Based Sensors for Human Well-Being
Lanthanide-based luminescent materials have emerged as highly promising in biosensing, primarily owing to the long lifetimes of lanthanides, which enable the efficient elimination of background signals during time-delayed ... -
Immunogen design to enhance Influenza and SARS-CoV-2 vaccine efficacy
Influenza and SARS-CoV-2 are pleomorphic viruses that cause respiratory diseases in humans and present significant public health threats. Vaccination has been essential in controlling the spread of these infections and ... -
Photo-physical Investigation of Bistable Molecular Magnetic Materials: Design, Synthesis and Applications
The work reported in this thesis is structured around four interconnected studies that explore distinct, yet interrelated facets of molecular magnetism. An overview of the chapters presented in this thesis is outlined ... -
Activation of H–E (E = H, Si, B, C) σ-Bond by Iridium and Rhodium Pincer Complexes: Implications in Catalytic (De)hydrogenation Reactions
Methane is a major constituent of natural gas and crude oil. Due to its abundance, methane is attractive from the standpoint of its utilization and conversion into value-added products.1 This process involves activation ... -
Millimeter Wave Beam Selection in Time-varying Channels with Orientation Changes and Lateral Mobility
Beamforming enables millimeter-wave (mmWave) communications to achieve high data rates in 5G and beyond systems. This requires the use of many narrow directional beams at both the transmitter and receiver to overcome the ... -
Dynamics of Single Shallow Arches and Statics of Connected Shallow Arches and their Applications
The methods developed in this thesis enable computationally efficient dynamic analysis of shallow arches. They also facilitate insightful design of arches for different applications. The first design study considers ... -
Mapping class group dynamics, relative character varieties and hyperbolic cone surfaces
This thesis concerns the punctured surface group representations into $\pslr$ and $\pslc$. We study the action of mapping class group on the relative character varieties of punctured surface groups into $\pslr$ and $\pslc$. ... -
Role of buoyancy in driving upper ocean mixing across timescales
This thesis explores the response of the upper ocean to surface buoyancy fluxes on different timescales using theory, numerical simulations and observation-based datasets. First, we investigate the role of evaporation in ... -
Genomics-based Assessments of Stemness and DNA Damage Response in Oral Cancer
Gingivobuccal oral squamous cell carcinoma (OSCC-GB) is a prominent clinical subtype of head and neck squamous cell carcinoma in India, predominantly affecting habitual users of smokeless tobacco. The genetic basis of ... -
Exploring and Targeting Dysregulated GPCRs in Glioblastoma: A Comprehensive Investigation
G protein–coupled receptors (GPCRs) represent the largest family of membrane receptors and are key regulators of cellular signaling. While extensively targeted in various diseases, their potential in oncology especially ... -
Multi-timescale and Multi-agent Reinforcement Learning Algorithms
This thesis presents six novel works involving several research domains, such as reinforcement learning (RL)– both with or without function approximators including deep neural networks, multi-agent RL, stochastic optimization, ... -
High-Velocity Skyrmions : Engineering, Memristors and Random Number Generation
Non-collinear spin textures have become very important in both fundamental research and technology. One of the most interesting examples of these textures is the skyrmion. A skyrmion is a small, vortex-like spin pattern ... -
Development of Generalizable Spiking Neural Network-Based Learning Frameworks For Solving Perimeter Defense Problem
Spiking Neural Networks (SNNs) are third-generation neural networks that can process information in a more biologically realistic way compared to other neural networks such as sigmoidal networks. They process the information ... -
CHARGE: Accelerating GNN Training via CPU Sampling in Heterogeneous CPU–GPU Environment
Graph Neural Networks (GNNs) have demonstrated exceptional performance across a wide range of applications, driving their widespread adoption. Current frameworks employ CPU and GPU resources—either in isolation or ... -
Transition metal nanoparticles embedded carbonaceous framework for electrocatalysis and zinc air batteries
As the world’s energy demand grows and environmental challenges mount, there is a growing push to find sustainable energy sources and efficient solutions for energy conversion, such as water splitting, fuel cells, ... -
Development of a novel LPG/PNG domestic burner for high efficiency and low emissions
Domestic cooking is one of the basic human needs, and cookstoves based on fuel combustion are widely used. LPG (Liquified Petroleum Gas) is the most common cooking fuel, followed by PNG (Piped Natural Gas), which has an ... -
Studies on Solid State- and Photorechargeable- Batteries: From Interface Engineering to Material Design
Research work presented in the thesis involves fundamental studies on photorechargeable and solid-state energy storage devices. Lead-free perovskite (CsBi3I10) and a mixed chalcogenide (MoSeTe) based electrodes lead to ... -
Quantifying the past and future variability in the Bay of Bengal using statistical and deep learning methods
The Bay of Bengal, the world's largest bay, along with the Andaman Sea, a peripheral sea situated in the southeastern part of the bay, is crucial to the economic and maritime security of India. Understanding the dynamics ...