摘要

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

  • 出版日期2010-11-15