About Me 

I am Snehith, and I am from the Chemical Sciences division. I am presently interested in diversifying the research in a multidisciplinary fashion involving topology (algebraic topology), condensed state physics, matter-light interactions, Quantum transport, photonics, electrochemistry, materials characterisation, computational modelling, high pressure materials,  non-linear dynamics and surface engineering toward environmental remediation (like hydrogen generation, carbon dioxide reduction), energy storage, energy fuel regeneration and many more. All these aspects are interconnected and regarded as modern research areas to be discussed appropriately. Presently, since the research fields have gone thoroughly interdisciplinary, a modern researcher must understand these new aspects of research and include them in their research areas as far as possible. 

My point-of-view towards the interdisciplinary Materials Science research:

Previously, people have linked physics and chemistry, regarded them as interdisciplinary research areas, and developed to a certain extent. Later, biology was included in all kinds of realms, which further enhanced the quality of research and provided an opening for new areas of research. Later as time progressed, the use of computers and modelling became well acquainted with all modes of research, and informatics has become a new aspect included in almost all the fields and enhanced the power of computation and scope of estimation and analysis. In this modern era, there is a great need to incorporate mathematical concepts like topology, discrete mathematics, differential geometry, linear algebra along with high-performance computing (HPC) and big data analysis, which needs the knowledge of data science and machine learning (ML), an extension to Artificial Intelligence (AI) is also appreciable. This is because the functionality of a material can be theoretically well estimated before itself and can be further analysed via modelling and proceed for experimentation. A computational calculation of larger molecules and complex systems like polymers, MOFs, Organic-Frameworks whose computational calculations with first principles are bit time-taking, tiring and highly expensive; thus, machine learning will become an essential tool in just proposing the algorithm for the construction of model quickly without high expenses as it is simply a big data problem now. This kind of interdisciplinary involvement always supports research and causes fruitful relationships between researchers. Topologically behaving semimetals and semiconductors are also well known and regarded as new areas of research, which are needed and necessary as they are perfectly obeying mathematical laws in behaviour; thus, predetermined estimates work well here, which is regarded as one of the modern era's outbreaking research, along with which fragile topology of twisted graphene layers and their importance in areas mentioned above of research is quite challenging even. Material Informatics is also regarded as one of the most vital aspects of filtering materials and analysing them. One such well-regarded resources are the MATERIALS PROJECT, which needs to be well incorporated into modern research. My research mainly focuses on all these areas and combines various research areas, considers plenty of materials to work with, and finally satisfies the purpose required. 

Thanking you,

Best wishes,

A.V. Snehith