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Now showing items 11-19 of 19
Synthesis and development of multifunctional carbonaceous nanostructures for magnetic, optical and catalytic applications
Owing to the ease of functionalization, low synthesis-cost and polymorphism,
carbonaceous nanostructures such as carbon globules, nanotubes (CNTs) and graphene sheets
emerged technologically as one of the most important ...
Nonpolar III-Nitrides Optoelectronic Devices by Plasma-Assisted Molecular Beam Epitaxy
III-Nitrides are excellent semiconductors very much suitable for modern electronic and optoelectronic applications specifically in the fields of solid-state lighting, solar cells, high power/frequency electronics and ...
Fabrication, micro-computed tomography based quantitative 3D microstructure evaluation of 3D printed bioceramic scaffolds and FE modelling of biomedical implant prototypes
In summary, this thesis provides the following outcomes:
a) Formulation of novel powder-binder combination for 3D powder printing of
resorbable bone-tissue scaffold. b) The effect of post-processing approach on
the macro ...
Rational Design of Efficient Catalysts using First-Principles and Machine Learning
Rising concerns about the impending energy crisis and environmental impact have garnered tremendous research interest in developing catalysts for sustainable fuel production and pollution abatement. However, the traditional ...
Transition metal boride based multilayer solar selective coatings for concentrated solar power application
Renewable power technologies with zero CO2 emissions are the key to regulate the current global warming scenario. Solar energy is the most affordable and sustainable green energy source. One hour of solar radiation has ...
Computational Modeling of two Dimensional Heterostructures for Optoelectronic and Catalytic Applications
Two-dimensional van der Waals (2D-vdW) materials have attracted significant attention for their unique and excellent properties. The properties of the 2D-vdW materials can be precisely engineered using various techniques ...
Accelerated Search of Catalysts Using Density Functional Theory and Machine Learning
The need for clean and renewable energy resources has propelled the interest in designing new catalysts producing energy from renewable resources and alternate cleaner fuels such as hydrogen, methane, ammonia, ethylene, ...
Electron Microscopy Investigations on Solution Grown Stannous Oxide Nanosheets
In this thesis, motivated by the possibility of studying rich scientific phenomena using morphology controlled single crystals, experimental observation of new features in the growth and structure of layered oxide materials ...
Insights into Structure-Property Relationships via First Principles and Machine Learning Approaches
The increasing concerns about a sustainable future demand accelerated design and development of new materials with enhanced properties. The process of material development immensely depends on the structure-to-property ...