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Updated: Jun 23, 2025

Cooling Rate Dependent Ellipsometry Measurements to Determine the Dynamics of Thin Glassy Films
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Published on: January 26, 2016

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对于描述固体低温热容量数据的德拜-爱因斯坦模型的扩展回归分析

Ernst Gamsjäger1, Manfred Wiessner2

  • 1Institute of Mechanics, Montanuniversität Leoben, Franz-Josef-Str. 18, 8700 Leoben, Austria.

Entropy (Basel, Switzerland)
|June 26, 2024
PubMed
概括

这项研究比较了德拜-爱因斯坦热容量分析的马尔科夫链蒙特卡洛 (MCMC) 和莱文伯格-马卡特 (LM) 方法. 这两种方法对晶体固体产生类似的参数和标准误差,使得准确的热力学属性计算成为可能.

关键词:
贝叶斯的框架 贝叶斯的框架马尔科夫链蒙特卡洛 (MCMC) 是一个概率密度分布的概率密度分布.回归分析是一种回归分析.热力学功能的热力学功能.

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