etd AT Indian Institute of Science: Recent submissions
Now showing items 21-40 of 6947
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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 ... -
Digitalisation of the Quality Management System in the Medical Device Industry for Certification
The Indian medical device manufacturing sector is rapidly growing yet faces persistent challenges related to regulatory compliance, limited access to advanced technologies, and economic constraints. These issues are ... -
Developmental Studies on Polymeric Nano/Micro Composite Insulation for Various High Voltage Power Applications
The demand for electrical power is increasing day by day necessitating a higher voltage level for power transmission. Also the use of cast resin type dry transformers of compact size for use in confined areas and in certain ... -
Coupled electro-opto-mechanical oscillations in neuristors
Action potentials (AP) in biological neurons, measured through electrophysiological techniques, are electrical signals that emerge and propagate along the axonal membrane. It has been shown that close to the temperatures ... -
Design and Performance Optimization of Power Converters for Energy Storage Systems
Energy shortages and power outages are key concerns today, exacerbated by rising energy demands and the global imperative for clean energy and decarbonization. Energy storage systems (ESS) traditionally address both long-term ... -
Going Beyond Pairwise Relationships: Representation Learning on Simplicial Complexes
Relational data appear naturally in many real-world applications and can be modeled using mathematical structures known as graphs. Graphs model entities as nodes and their pairwise relations or interactions as edges. For ... -
A higher order finite volume discretization based on Staggered Update Procedure (SUP)
The unstructured data-based finite volume solvers are widely adopted in industrial computations owing to their robustness and flexibility in handling complex geometries. Most of these solvers use linear reconstruction ... -
New Dispersive Techniques for Quantum Field Theories
Quantum field theory has been remarkably successful in describing interactions of elementary particles, particularly through perturbative methods. However, many important regimes — including strong coupling and quantum ... -
Designing Functional Supramolecular Assemblies for Enzyme Activity Regulation
Enzymes are essential biocatalysts that perform chemical and biochemical reactions in living organisms. Dysregulation in enzyme activity is responsible for several metabolic disorders and lethal diseases such as Alzheimer’s ... -
Modeling, Analysis and Control of Switched Reluctance Generator
Switched reluctance machines (SRM) are permanent magnet-free and have a simple rotor with no current-carrying conductors. SRM can be operated as a generator and driven by renewable energy resources such as wind, solar-thermal, ... -
Class Incremental Learning Across Diverse Data Paradigms
Class Incremental Learning (CIL) is a fundamental machine learning paradigm that enables models to continuously learn new classes over time, while retaining previously acquired knowledge. Despite significant progress, ... -
ML based Intrusion Detection System for IEC 61850 MMS
Cyberattacks targeting operational technology (OT) systems, such as power grids, have evolved into highly sophisticated threats. In the last two decades state-sponsored adversaries have increasingly weaponized ... -
Analysis of Groundwater Systems Using Lumped and Distributed Hydrological Models: Applications in Indian Tropical Region
Groundwater is a critical resource for meeting agriculture, domestic, and industrial water demand, particularly in tropical regions of India. However, increasing groundwater extraction, erratic monsoonal rainfall, and ... -
Effect of Flow Regime on Performance of Rotating Gliding Arc Reactor: Experimental and Simulation Studies
Non-thermal plasma (NTP) technology offers a promising approach for pollutant abatement, gas conversion, and plasma-assisted combustion (PAC) by enabling reactions under atmospheric conditions, bypassing thermodynamic ...