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  2. Gibbs free energy - Wikipedia

    en.wikipedia.org/wiki/Gibbs_free_energy

    In thermodynamics, the Gibbs free energy (or Gibbs energy as the recommended name; symbol ) is a ... ln, natural logarithm, Q r, reaction quotient (unitless),

  3. Entropy in thermodynamics and information theory - Wikipedia

    en.wikipedia.org/wiki/Entropy_in_thermodynamics...

    The logarithm in the thermodynamic definition is the natural logarithm. It can be shown that the Gibbs entropy formula, with the natural logarithm, reproduces all of the properties of the macroscopic classical thermodynamics of Rudolf Clausius. (See article: Entropy (statistical views)).

  4. Free-energy relationship - Wikipedia

    en.wikipedia.org/wiki/Free-energy_relationship

    In physical organic chemistry, a free-energy relationship or Gibbs energy relation relates the logarithm of a reaction rate constant or equilibrium constant for one series of chemical reactions with the logarithm of the rate or equilibrium constant for a related series of reactions. [1]

  5. Entropy (statistical thermodynamics) - Wikipedia

    en.wikipedia.org/wiki/Entropy_(statistical...

    The von Neumann entropy formula is an extension of the Gibbs entropy formula to the quantum mechanical case. It has been shown [ 1 ] that the Gibbs Entropy is equal to the classical "heat engine" entropy characterized by d S = δ Q T {\displaystyle dS={\frac {\delta Q}{T}}\!} , and the generalized Boltzmann distribution is a sufficient and ...

  6. Gibbs' inequality - Wikipedia

    en.wikipedia.org/wiki/Gibbs'_inequality

    In information theory, Gibbs' inequality is a statement about the information entropy of a discrete probability distribution. Several other bounds on the entropy of probability distributions are derived from Gibbs' inequality, including Fano's inequality .

  7. Gibbs algorithm - Wikipedia

    en.wikipedia.org/wiki/Gibbs_algorithm

    Josiah Willard Gibbs. In statistical mechanics, the Gibbs algorithm, introduced by J. Willard Gibbs in 1902, is a criterion for choosing a probability distribution for the statistical ensemble of microstates of a thermodynamic system by minimizing the average log probability

  8. Partition function (mathematics) - Wikipedia

    en.wikipedia.org/wiki/Partition_function...

    The corresponding Gibbs measure then provides a probability distribution such that the expectation value of each is a fixed value. More precisely, one has More precisely, one has ∂ ∂ β k ( − log ⁡ Z ) = H k = E [ H k ] {\displaystyle {\frac {\partial }{\partial \beta _{k}}}\left(-\log Z\right)=\langle H_{k}\rangle =\mathrm {E} \left[H ...

  9. Gibbs–Helmholtz equation - Wikipedia

    en.wikipedia.org/wiki/Gibbs–Helmholtz_equation

    The definition of the Gibbs function is = + where H is the enthalpy defined by: = +. Taking differentials of each definition to find dH and dG, then using the fundamental thermodynamic relation (always true for reversible or irreversible processes): = where S is the entropy, V is volume, (minus sign due to reversibility, in which dU = 0: work other than pressure-volume may be done and is equal ...