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Layered Metal Dichalcogenides-Based Hybrid Devices for Resistive Sensing
During the past few decades, photodetectors (PDs) are being regarded as the crucial components of many photonic devices which are being used in various important applications. However, the PDs based on the traditional bulk ...
Directing cellular differentiation using biophysical cues on multifunctional biomaterial platforms for neural and osteochondral applications
World health organization (WHO) has recognized multiple degenerative diseases as the leading causes of mortality, globally. The drugs-based clinical treatment of chronic degenerative diseases such as multiple sclerosis, ...
Graphene based materials : Mechanistic insights into corrosion inhibition and supercapacitance
In the contemporary scenario, protecting metals and alloys from deterioration through the coating is the main concern that extracts worldwide attention. Although existing coating processes and methods such as epoxy ...
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 ...
Understanding quantitative process physics of 3D binderjet printing with validation in Ti-6Al-4V and inkjet bioprinting of mammalian cells
In the field of additive manufacturing, laser or electron beam based 3D printing is widely investigated for biomedical applications. However, much less explored is the binderjet 3D printing, which allows processing of ...
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 ...
Machine learning and density functional theory assisted insights into the mechanical and oxidation properties of nickel-based superalloys
Due to global warming and increasing fuel costs, there is a constant thrust toward increasing fuel efficiency and reducing the emissions of gas-turbine engines, which are made out of superalloys. New superalloy materials, ...
Two-dimensional layered materials integrated with oxide semiconductor-based hybrid devices for broadband photodetector applications
Photodetectors find their applications in several arenas such as that of bio-integrated electronics, health monitoring, high-definition imaging, remote controls, spectroscopy, and others. Therefore, photodetectors play an ...