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Many Faces of Entropy or Bayesian Statistical Mechanics

Evgeni B. Starikov (Institutionen för kemi- och bioteknik, Fysikalisk kemi)
ChemPhysChem (1439-4235). Vol. 11 (2010), 16, p. 3387-3394.
[Artikel, refereegranskad vetenskaplig]

Some 80-90 years ago, George A. Linhart, unlike A. Einstein, P. Debye, M. Planck and W. Nernst, managed to derive a very simple, but ultimately general mathematical formula for heat capacity versus temperature from fundamental thermodynamic principles, using what we would nowadays dub a "Bayesian approach to probability". Moreover, he successfully applied his result to fit the experimental data for diverse substances in their solid state over a rather broad temperature range. Nevertheless, Linhart's work was undeservedly forgotten, although it represents a valid and fresh standpoint on thermodynamics and statistical physics, which may have a significant implication for academic and applied science.Undeservedly forgotten: George A. Linhart's publications some 80-90 years ago in which-unlike Einstein, Debye, Planck and Nernst-he succeeded in deriving a simple, but ultimately general mathematical formula for heat capacity versus temperature from fundamental thermodynamic principles, using what we would nowadays dub a "Bayesian approach to probability", became totally forgotten, although they represent a valid and fresh standpoint on thermodynamics and statistical physics. The aim of this essay is to restore the memory of these great works

Nyckelord: Bayesian probability, Entropy, Heat capacity, Statistical mechanics, Thermodynamics



Denna post skapades 2012-10-17. Senast ändrad 2013-09-23.
CPL Pubid: 164845

 

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Institutioner (Chalmers)

Institutionen för kemi- och bioteknik, Fysikalisk kemi (2005-2014)

Ämnesområden

Fysikalisk kemi

Chalmers infrastruktur