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Determining Functional Parameters of Hybrid Catalysts for Sustainable Energy Storage and Conversion Applications
Generating global-scale sustainable energy systems and preserving our environment for the future at the same time are the biggest challenges. Therefore, the search for diverse energy sources which will reduce our dependency ...
Exploration of Ti-based Anodes for Rechargeable Alkali-ion Batteries And Hybrid-ion Capacitors
From 600 B.C. till 1700 A.D., electricity remained the least understood form of energy and was considered "Magical." In the 18th century A.D., the electricity that mysteriously struck
Franklin as he arduously flew a kite ...
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 ...
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 ...
Electron Microscopy Investigations of Surface-modulated Nanomaterials for Electrocatalytic Applications
With advancement and increasing usage of technologies, the demand for energy is also growing. However, the limited and ever-depleting stock of natural gas and fossil fuels has necessitated for better solutions in energy ...
Expanding the Possibilities of Multifunctional Gelatin Methacrylol Bioinks for 3D Bioprinting of Complex Biomimetic Tissue Constructs
Tissue engineering, or the construction of complex tissue-like structures for injured tissue replacement and regeneration, has been a subject of investigation over the last thirty years. In the last decade, there has been ...
Mechanistic Insights into the Chemical and Electronic Doping for Advanced Optoelectronic, Catalytic, and Quantum Applications
Doping via the incorporation of ionizable entities within solid-state materials represents a promising strategy for the generation of mobile or localized charge carriers. Conventionally, doping has been perceived as an ...
Investigation of machine learning and deep learning methodologies for applications in biomechanics, additive manufacturing, and microstructure fingerprinting: A Biomaterialomics approach
Traditional approaches to developing biomaterials and implants require intuitive tuning of process variables, long innovation cycle, and high costs. Accelerating the production of personalized, implantable biomaterials and ...