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Shaunak K Badani – Enhanced Sampling

November 2022

Shaunak Ketan Badani received his Master of Science – Dual Degree in Computational Natural Sciences (CNS).  His research work was supervised by Dr. Marimutu Krishnan.   Here’s a summary of his research work on Enhanced Sampling using Replica Exchange with Non-equilibrium Switches:

The configurational sampling is central to characterize the equilibrium properties of complex molecular systems, but it remains a significant computational challenge. The conventional molecular dynamics simulations of limited duration often result in inadequate sampling and thus inaccurate equilibrium estimates. Replica exchange with non-equilibrium switches (RENS) is a collective variable-free computational technique to achieve extensive sampling from a sequence of equilibrium and non-equilibrium MD simulations without modifying the underlying potential energy surface of the system. Unlike the conventional replica exchange molecular dynamics (REMD) simulation, which demands a significant number of replicas for better accuracy, RENS employs non-equilibrium heating and cooling work simulations prior to configurational swaps to improve the acceptance probability for replica exchange. Here, we have implemented the RENS algorithm on four model systems and examined its performance against the conventional MD and REMD simulations. The desired equilibrium distributions were generated by RENS for all the model systems, whereas REMD and MD simulations could not do so due to inadequate sampling on the same timescales. The calculated work distributions from RENS obeyed the expected non-equilibrium fluctuation theorem. The results also demonstrated that the switching time of the non-equilibrium work simulations can be adaptively altered to fine-tune the acceptance probability and the reduced work of switching. The modular implementation of RENS algorithm not only enables us to readily extend it to multiple replicas, but also paves the way for extension to larger molecular systems in the future.