Equilibrium Information from Nonequilibrium Measurements in an Experimental Test of Jarzynski's Equality
By J. Liphardt, S. Dumont, Steven B. Smith, Ignacio Tinoco Jr., C. Bustamante. Science, 2002
976 citations recorded by the source corpus.
Subfields: Economics and Econometrics, Statistical and Nonlinear Physics
View Paper: https://www.semanticscholar.org/paper/4916fcc76c861d7677afd8bde8ffc8303c61b722
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In Economics and Econometrics
- Andrea Puglisi
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- Masahito Ueda
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In Statistical and Nonlinear Physics
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- Andrea Puglisi
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- Sai Vinjanampathy
Citations in the corpus
- Scalable molecular dynamics with NAMD (2005, methodology): “The Jarzynski equality provides a way to extract equilibrium information, such as free energy differences, from averaging over nonequilibrium processes [76], a method that has been tested against computer simulations [77] and experiments [78].”
- Experimental demonstration of information-to-energy conversion and validation of the generalized Jarzynski equality (2010, background): “Although the second law concerns only the average, or the first-order cumulant, of the stochastic quantity Δ F − W , Jarzynski pointed out that the second law naturally emerges as the first-order cumulant expansion of the following equality that involves Δ F − W to all order”