### Skapa referens, olika format (klipp och klistra)

**Harvard**

Starikov, E. (2010) *Many Faces of Entropy or Bayesian Statistical Mechanics*.

** BibTeX **

@article{

Starikov2010,

author={Starikov, Evgeni B.},

title={Many Faces of Entropy or Bayesian Statistical Mechanics},

journal={ChemPhysChem},

issn={1439-4235},

volume={11},

issue={16},

pages={3387-3394},

abstract={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},

year={2010},

keywords={Bayesian probability, Entropy, Heat capacity, Statistical mechanics, Thermodynamics},

}

** RefWorks **

RT Journal Article

SR Electronic

ID 164845

A1 Starikov, Evgeni B.

T1 Many Faces of Entropy or Bayesian Statistical Mechanics

YR 2010

JF ChemPhysChem

SN 1439-4235

VO 11

IS 16

SP 3387

OP 3394

AB 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

LA eng

DO 10.1002/cphc.201000583

LK http://dx.doi.org/10.1002/cphc.201000583

OL 30