Centre for Computational Studies and Simulations (C2S2)
Computer simulations (‘in silico’ experiments) play a crucial role in all the domains of science, engineering and finance, business and other branches
Indispensable for pre-emptive determination of course and possibilities, prior to actually doing an experiment in the laboratory or a real-life scenario.
Exploring Science without boundaries: ‘Computational Simulations’ are considered to be the important bridges that allows one to solve the intricate problems in different domains of science
To explore the limitless possibilities of scientific computing, modeling, and simulations through innovation in education and research
To create a state-of-art facility in scientific computing for education and research catering to students of science and engineering.
To introduce curriculum in scientific computing, modelling and simulation at under-graduate and post-graduate levels.
To balance teaching and practice in scientific computing and provide hands-on experience to the students for problem solving. To promote interdisciplinary research employing scientific computing across the disciplines of science and engineering.
To promote industry-academia network through workshops and specially designed corporate training programmes.
To provide consultancy solutions to industry-facing problems through computational approach.
Attract funding through external funding agencies.
To promote interdisciplinary research employing scientific computing across the disciplines of science and engineering. Compliment experimental research by simulations across the domains.
RESEARCH AREAS
Robust and scalable HPC environment: Linux-based ( Aggregate power 5.05 Tflops )
HPC CLUSTER INTEL XEON BASED
1. Processor, RAM, HDD/ SDD
Intel Xeon Gold (64-Bit)
2. Power
Login Node x 1: 1.47 Tflops
Compute Node x 1: 2.44 Tflops
WORKSTATION
Core i7, 32 GB RAM, 1 TB HDD
Aggregate: 1.14 TFlops
Simulation software packages:
CHEMISTRY, PHYSICS, MATERIALS SCIENCE, POLYMER SCIENCE
GAMESS, NWChem, PWSCF
Quantum Espresso, VMD
LIFE SCIENCE
LAMMPS, ABMER
PyMOL
Email Id: anant.kulkarni@somaiya.edu