Quantum materials and devices
2D materials have emerged as promising candidates for the development of high-performance transistors, revolutionizing the landscape of logic and memory applications. In particular, the transition metal dichalcogenides (TMDCs), such as molybdenum disulfide (MoS2) and tungsten disulfide (WS2), have gained attention for their exceptional electronic and optical properties. The atomically thin nature of these materials allows for precise control over the transistor’s channel, which coupled with their compatibility with existing silicon-based technology, makes 2D material-based transistors a promising avenue for advanced computing technologies. We aim to prepare large scale 2D materials using chemical vapour deposition techniques for their potential applications in various electronics and opto-electronics devices for complex memory, logic, and sensor systems.
Heat transport at Nanoscale
Heat transport at the nanoscale is a fascinating and critical phenomenon with implications for various fields, including materials science and nanotechnology. Raman spectroscopy has emerged as a powerful technique for investigating and understanding nanoscale heat transport. The ability to probe heat transport at such a fine scale contributes significantly to the development of advanced materials and the optimization of nanoscale devices for enhanced thermal management. Using this non-invasive technique, we also dedicate our research for the characterization of thermal conductivity and heat transfer mechanisms in nanostructured materials, such as 2D materials, nanowires, and thin films.
Neuromorphic Computing
Neuromorphic computing is a field of computer engineering that aims to develop computer systems that can emulate the complex behaviour of biological neural systems, such as the human brain. In the era of Artificial intelligence, Neuromorphic computing has emerged as a promising paradigm for processing large amounts of data in an efficient and brain-inspired manner. Unlike traditional von Neumann computing, which relies on a centralized processing unit and separate memory unit, neuromorphic computing is based on the idea of distributed processing and learning, similar to the way neurons in the brain operate. We extensively study the neuromorphic behaviour of the memristor devices and mimic the synaptic behaviour of human brain in an artificial way in our electronic devices.
Resistive random-access memory
Resistive switching (RS) is the process in which a dielectric material changes its resistance under the influence of the external applied electric field. RS memory device shows high endurance, high retention time which makes it more efficient compared to conventional memory devices. We fabricate RS device using different novel metal-oxides. We extensively study RS under the influence magnetic field, temperature and other parameters. We use Density functional theory (DFT) to validate our experimental results.