Symbol e^-W/k_B T
W/ T is part of the quantity the equation computes from the expression on the right.
Read this term in its guide →Published equation contexts
The next structural advance did not concern the demon at all; it concerned a much older and more general problem — how to extract equilibrium information from a process driven arbitrarily far from equilibrium. In 1997, Christopher Jarzynski published “Nonequilibrium Equality for Free Energy Differences” in Physical Review Letters [ 3 ] . The Jarzynski equality states that if a system is driven from one equilibrium state to another along some protocol, performing a fluctuating amount of work W on each repetition, the equilibrium free energy difference F between the two states can be recovered exactly from an exponential average over the work distribution: . This is a…
W/ T is part of the quantity the equation computes from the expression on the right.
Read this term in its guide →Δ F/ T is one of the signed contributions combined to compute the quantity on the left.
Read this term in its guide →Read it with the definitions, units, and assumptions supplied by the article.
A symbol can carry a different meaning in another article. Each occurrence keeps its own guide and term definitions.
Equation 10 · Physics
This equation states an equality: the expressions on both sides have the same value under the article’s assumptions.
The next structural advance did not concern the demon at all; it concerned a much older and more general problem — how to extract equilibrium information from a process driven arbitrarily far from equilibrium. In 1997, Christopher Jarzynski published “Nonequilibrium Equality for Free Energy Differences” in Physical Review Letters [ 3 ] . The Jarzynski equality states that if a system is driven from one equilibrium state to another along some protocol, performing a fluctuating amount of work W on each repetition, the equilibrium free energy difference F between the two states can be recovered exactly from an exponential average over the work distribution: . This is a…
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