Param Shakti facility has allowed my group to perform large-scale simulations of turbulence in variety of systems. Team Param Shakti (technical and administrative) has been prompt and extremely helpful.

The training programs conducted by the CDAC team have been instrumental in inspiring many rural Indian students to pursue careers in computational science. With the team’s unwavering support, I have been able to make significant strides in my group’s research, leading to successful publications in top-tier scientific journals

The NSM systems were used to investigate novel quantum phenomena in interacting many electron systems of various kinds. These were used to investigate entanglement structures in fractional quantum Hall systems; these results were published in Physical Review B

Intrinsic magnetic ordering in 2D materials is limited to cryogenic temperatures, prompting research into high-temperature magnetism. We identified strategies for room-temperature ferromagnetic and antiferromagnetic states in Cr-based materials and proposed a new platform in layered oxides. Our device tunes topological quantum states, aiming for technological applications in spintronics.

Param Shakti, installed under the NSM initiative, was a key factor in joining IIT Kharagpur. This state-of-the-art facility has enabled my research group to conduct cutting-edge AI research, contribute to high-impact publications, and train the next generation of AI professionals using CUDA-capable NVIDIA GPUs.

Using several classical Molecular Dynamics simulations, the group examined characteristics such as thermal stability, surface effects, ion-ion and ion-solvent interactions and ion dynamics in (Adpn)2LiPF6. The calculations and simulations also provided a quantitative measure of ion transport under various conditions and explained the various observations seen from experiments performed by the collaborators.

Using several classical Molecular Dynamics simulations, the group examined characteristics such as thermal stability, surface effects, ion-ion and ion-solvent interactions and ion dynamics in (Adpn)2LiPF6. The calculations and simulations also provided a quantitative measure of ion transport under various conditions and explained the various observations seen from experiments performed by the collaborators.

Computational studies, leveraging the power of the Param Shakti facility, enabled us to perform extensive molecular dynamics simulations, and have been instrumental in elucidating the fundamental roles of side-chains, functional groups, and solvents in governing the self-assembly and emergent properties of these sophisticated supramolecular polymer architectures.

Focusing on dopamine and glucose detection, DFT calculations, enabled by Param Shakti, provided insights into electronic property changes upon adsorption. These insights significantly enhanced sensor performance, achieving a low detection limit of 10 nM for dopamine and significantly improving the accuracy and sensitivity of the glucose sensor.

Leveraging Param Shakti’s advanced capabilities, we gained deep mechanistic insights, leading to the rational design of highly efficient and selective catalysts. These insights were critical for understanding catalyst-substrate interactions and streamlining synthetic protocol development.

Leveraging the exceptional computing power of PARAM Rudra, we conducted scalability studies of our advanced MPI-OpenMP-based fusion plasma kinetic particle-in-cell code (G2C3). These studies, simulating microturbulence in tokamaks with up to 4.2 billion particles across 300 nodes, showcased the system’s remarkable capabilities. The seamless support and expertise of the highly skilled C-DAC team in optimizing and executing our code were instrumental in achieving this milestone—our heartfelt appreciation to them!