etd AT Indian Institute of Science: Recent submissions
Now showing items 561-580 of 6565
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Investigation of Growth, Structural and Optical properties of different phases of Ga2O3
Among the semiconducting sesquioxides, Ga2O3 has attracted considerable research attention in recent years due to its excellent properties, including direct ultra wide band gap, optical transparency, high excitonic binding ... -
Identification of crystalline structures of clathrate hydrates during molecular simulations using machine learning
Molecular simulation is a powerful tool that links a system’s microscopic behaviour to its macroscopic observable features. The data obtained from a molecular simulation act as a digital microscope, i.e., it contains ... -
Numerical Analysis to Understand Influence of Ventilation Systems on Thermal Comfort Parameters, Quality of Air, and Local Sweating
The body’s heat exchange mechanisms include sensible heat transfer at the skin surface (also called “Dry Heat exchange”) due to temperature differences (via conduction, convection, and radiation (long-wave and short-wave)), ... -
Hybrid Physics-Data Driven Models for the Solution of Mechanics Based Inverse Problems
Inverse problems pose a significant challenge as they aim to estimate the causal factors that result in a measured response. However, the responses are often truncated, partially available, and corrupted by measurement ... -
Diabetogenesis and Albumin Molecular Modifications Newer Biological Insights and Clinical Implications
To address the many unmet scientific needs in diabetes care (pathogenesis pathways, earliest diagnosis, efficient monitoring, safer and better therapies and importantly prevention approaches), our research focussed on: (a) ... -
True Random Number Generators based on Amplified Spontaneous Emission
Low-cost, high-speed quantum random number generators (QRNGs) are imperative to develop in order to have a widespread application in areas ranging from cryptography and stochastic simulations to banking and internet. ... -
Experimental and Numerical Studies on High-pressure Trapped Vortex Combustion
Recent climate change issues demand stringent emission standards for natural gas-fired power generation applications. The Trapped Vortex Combustor (TVC) is a relatively new concept where the flame is stabilized using a ... -
Low Light Image Restoration: Models, Algorithms and Learning with Limited Data
The ability to capture high quality images under low-light conditions is an important feature of most hand-held devices and surveillance cameras. Images captured under such conditions often suffer from multiple distortions ... -
Investigating the role of AMPK in mammary gland alveologenesis and lactation
AMP-activated kinase (AMPK) is an energy sensor that regulates cell growth and metabolism. Reports from our laboratory and others have shown the context-specific role of AMPK signaling in breast cancer. However, its role ... -
Structural and functional insights into hybrid AT-less megaenzyme synthase (NRPS) and DNA-MsDps2 complexes using single particle cryo-EM
Microorganisms, mainly bacteria and fungi, are the producers of structurally diverse, complex organic compounds called as secondary metabolites. These metabolites include polyketides (PKs), non-ribosomal peptides (NRPs), ... -
Structure-Property Correlation in Additively Manufactured High-Temperature Materials: Insights from Nickel-Based Superalloy IN718 & Nickel-Based Eutectic High Entropy Alloy AlCoCrFeNi2.1
High-temperature alloys are technically very important materials that possess higher resistance toward mechanical and chemical degradation at 0.4-0.6 TM for a constant/cyclic load. These attributes make them candidate ... -
A Multiscale Study of the Thermodynamics and Kinetics of Vacancy–grain-boundary Interactions
Grain boundaries (GBs) influence many physical and mechanical properties of crystalline materials. This is primarily because of their interactions with other kinds of defects, such as point and line defects. Such interactions ... -
Structural Health Monitoring Accounting for Thermal Variability and Damage using Approximate Bayesian Computation
In structural engineering, damage is characterized as a change in material property, boundary condition, or geometry. The changes in these properties/parameters lead to a change in the measured response. The difference ... -
Low Head Hydraulic Pumping – Design, Simulation, and Field Validation of Ram and Turbine Pump in Indian River Basin
Water energy is essential for economic expansion and human development. Social progress and economic growth depend on meeting water energy needs sustainably. The use of non renewable energy sources for pumping water to ... -
Experimental investigation of syngas combustion using a novel two-stage combustor
In recent years, syngas has gained research interest as the focus shifts from fossil to renewable fuels. Syngas generated from biomass such as wood, agricultural residue, and paper is a promising fuel to achieve net-zero ... -
Modelling, Stabilization Methods and Power Amplification for Power Hardware-in-Loop Simulation with Improved Accuracy
Accurate testing of a device under development, in near to real-life environment, is essential to the rapid growth of emerging technologies such as distributed generation, renewable energy sources, electrical storage, ... -
Wetting and Frictional Properties of Hexagonal Boron Nitride with Atomic-Scale Defects and Roughness
Two-dimensional (2D) materials such as graphene, hexagonal boron nitride (hBN), and molybdenum disulfide (MoS2) have become materials of choice for applications spanning optoelectronics, atomically thin coatings, and ... -
Stochastic Finite Element Modeling of Material and Geometric Uncertainties in Electromagnetics
Design methodologies for RF/Microwave systems require major changes to cope up with the evolution of faster, high data/rate wireless communication systems using 5G and futuristic 6G technologies. The research on Terahertz ... -
Development of High-Performance Piezoelectric Micromachined Transducers for Near Ultrasound
Near-ultrasound refers to sound with frequencies just above the range of human hearing, from about 18 to 40 kHz. This band is rarely used for typical ultrasound applications and is ignored for all except the most demanding ... -
A Learnable Distillation Approach For Model-agnostic Explainability With Multimodal Applications
Deep neural networks are the most widely used examples of sophisticated mapping functions from feature space to class labels. In the recent years, several high impact decisions in domains such as finance, healthcare, law ...