Efficient use of non-equilibrium measurement to estimate free energy differences for molecular systems
| dc.creator | Ytreberg, F. Marty | |
| dc.creator | Zuckerman, Daniel M. | |
| dc.date | 2004-02-13 | |
| dc.date.accessioned | 2026-07-07T05:51:13Z | |
| dc.date.available | 2026-07-07T05:51:13Z | |
| dc.description | A promising method for calculating free energy differences Delta F is to generate non-equilibrium data via ``fast-growth'' simulations or experiments -- and then use Jarzynski's equality. However, a difficulty with using Jarzynski's equality is that Delta F estimates converge very slowly and unreliably due to the nonlinear nature of the calculation -- thus requiring large, costly data sets. Here, we present new analyses of non-equilibrium data from various simulated molecular systems exploiting statistical properties of Jarzynski's equality. Using a fully automated procedure, with no user-input parameters, our results suggest that good estimates of Delta F can be obtained using 6-15 fold less data than was previously possible. Systematizing and extending previous work [1], the new results exploit the systematic behavior of bias due to finite sample size. A key innovation is better use of the more statistically reliable information available from the raw data. | |
| dc.description | 11 pages, 5 figures | |
| dc.identifier | https://arxiv.org/abs/physics/0402065 | |
| dc.identifier | http://arxiv.org/abs/physics/0402065 | |
| dc.identifier.uri | http://salesiana.dossiersoluciones.com/handle/123456789/85954 | |
| dc.subject | Computational Physics | |
| dc.subject | Biological Physics | |
| dc.title | Efficient use of non-equilibrium measurement to estimate free energy differences for molecular systems | |
| dc.type | text |