We perform a block-averaging and extrapolation analysis of fast-switching free-energy difference (ΔF) estimates for a computer-modeled, fully solvated ethane ↔ methanol transformation. The results suggest that the analysis can greatly reduce the 'finite-sampling error' in ΔF estimated from a small number of very fast switches. This error, which can be many times kBT, is the difference between an estimate based on a finite amount of data and that from an infinite data set; it is inherent in the ΔF calculations. Our blocking/extrapolation procedure appears to be particularly useful for broad, non-Gaussian distributions of data which typically produce large finite-sampling errors.
ASJC Scopus subject areas
- Physics and Astronomy(all)
- Physical and Theoretical Chemistry