Browsing Division of Interdisciplinary Research by Title
Now showing items 353-372 of 537
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Nanopore Based Single-molecule Sensors
In the past two decades nanopores have been used as highly sensitive detection systems for exploring the properties of analytes at single molecule resolution. The small dimensions of a nanopore permit the molecule of ... -
Nanostructured Hybrids with Engineered Interfaces for Efficient Electro, Photo and Gas Phase Catalytic Reactions
(2018-07-18)Catalysis using nanostructures has been a topic of substantial interest for fundamental studies and for practical applications in energy and environmental sectors. The growing demand for production of energy and in the ... -
Nanostructured Metal Oxide Semiconductor Gas Sensor
Gas sensors play a vital role in today’s world; be it in pollution monitoring, breath analysis, food quality monitoring or in agriculture. A variety of methods are being explored to develop reliable gas sensor systems such ... -
Network models uncover key molecular perturbations in complex human diseases
Biological systems are complex networks of molecular components that function in a tightly controlled manner. Any form of perturbation in these components or their associated interactions affects the normal physiology of ... -
Neuro-electronic Hybrid Systems
Artificial neural networks have provided a powerful motif to implement extremely complex functions of high dimensional inputs like images and text. These are now being used to directly control robotic systems, to enable ... -
A New Class of Single DC-link Fed Multilevel Inverter Topologies for Grid Connected Photovoltaic Systems with Reduced Component Count and Inherent Capacitor Balancing
Grid integration of photovoltaic (PV) energy sources has been mostly governed by conventional two-level voltage source inverters. These topologies have significant switching power losses, dV/dt stress and THD level at lower ... -
New Dimension in Senescence: Unraveling Cellular Senescence in Three-Dimensional Scaffolds
Aging is a ubiquitous process that results in the progressive and irreversible loss of function. It is induced by accumulating damage caused by a variety of stressors, both internal and external. Although the advancement ... -
Next Generation High Electron Mobility Transistor based on InGaN Quantum Well Channel
In past two decades and more, III-N based high electron mobility transistors (HEMTs) have generally used GaN as the channel layer. During this period, the quest for operating it at higher frequencies has resulted in the ... -
Normally off AlxGa(1-x)N/GaN devices: Materials, process and device architecture innovations
AlxGa(1-x)N/GaN HEMTs find applications in power electronics systems as high-frequency power switches. The formation of a highly mobile 2 dimensional electron gas (2DEG) at a heterointerface in an otherwise insulating wide ... -
A Novel Algorithm-Architecture Co-Designed System for Dynamic Execution-Driven Pre-Silicon Verification
In EDA industry, design-under-test (DUT) is a pre-silicon digital design which is still undergoing testing phase. We perform functional-verification of a DUT to verify whether the DUT conforms to the specifications. Functional ... -
Novel Approaches For Demand Forecasting In Semiconductor Manufacturing
(2009-02-25)Accurate demand forecasting is a key capability for a manufacturing organization, more so, a semiconductor manufacturer. Many crucial decisions are based on demand forecasts. The semiconductor industry is characterized by ... -
A Novel Chip Resistor Spacecloth For Radar Absorbing Materials
(Indian Institute of Science, 2007-05-17)Spacecloth design and development is vital and crucial in Radar Absorbing Materials (RAM) for achieving Low Observability in an Aircraft or an Unmanned Air Vehicle(UAV). The RAM design translates into the spacecloth design. ... -
Novel Deep Learning Methods for Improving Low-Dose Computed Tomography Perfusion Imaging of Brain
Computed Tomography (CT) Perfusion imaging is a non-invasive medical imaging modality that has also established itself as a fast and economical imaging modality for diagnosing cerebrovascular diseases such as acute ischemia, ... -
Novel Neural Architectures based on Recurrent Connections and Symmetric Filters for Visual Processing
Artificial Neural Networks (ANN) have been very successful due to their ability to extract meaningful information without any need for pre-processing raw data. First artificial neural networks were created in essence to ... -
Numerical Analysis of Some Preconditioners and Associated Error Estimators for Solving Linear Systems
Convergence of iterative algorithms in solving large linear systems is largely affected by the condition number of the matrix. Preconditioners reduce the condition number of the system matrix, thereby letting the linear ... -
A Numerical Method for Modeling Light Scattering from Spherical Particles with a Probability Density in the Parametric Space
With modern computational tools, modeling light scattering from a particle with known physical parameters has become relatively trivial. Evaluation using analytical solutions is highly eficient compared to a full ... -
Numerical simulations of hydrogen flames in reheat gas turbine combustor: effect of pressure scaling and fuel blending
With a goal toward a net-zero energy supply, hydrogen, hydrogen-enriched natural gas, and biofuels, which reduce the carbon footprint, are actively being considered for firing stationary gas turbine engines. In this regard, ... -
Numerical Studies of Axially Symmetric Ion Trap Mass Analysers
(2018-05-29)In this thesis we have focussed on two types of axially symmetric ion trap mass analysers viz., the quadrupole ion trap mass analyser and the toroidal ion trap mass analyser. We have undertaken three numerical studies in ...