Computational Soft Matter Group

Our research involves designing nature-inspired materials. We are interested to connect the fundamental understanding of nature's design of biomolecular structures inside a crowded living cell and employ the understanding in designing novel self-assembled (nano)materials. We investigate crucial fundamental phenomena at molecular level, such as of hydrophobic effect, that underlie self-assembly and aggregation of (bio)macromolecules and regulates their aqueous solubility, conformational preferences and function. The interplay of molecular interactions and thermodynamic driving forces are examined to predict structure-property relationships that can be used for tuning controlled self-assemblies in (nano)materials. We make use of molecular simulations, concepts in statistical mechanics, and statistical theories of solvation to investigate and obtain deeper insights.

Current openings: Looking for bright, enthusiastic and motivated students for Ph.D. positions in the group. Students with B.Sc./M.Sc./M.Tech. in Chemistry, Physics and B.Tech/M.Tech in Chemical Engg will be preferred. Students with M.Sc. must have a National fellowship such as GATE/CSIR-JRF/UGC-JRF.