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所在平台: Coursera |
课程主页: https://www.coursera.org/learn/statistical-thermodynamics-cm
课程评论：没有评论
课程名称：统计热力学：从分子到机器 概述：现代工程研究着重于从分子层面设计新材料和工艺。统计热力学为理解分子间相互作用如何导致宏观尺度上的集体行为提供了理论基础。本课程将重点培养对热力学核心量（如热、功、自由能和熵）的分子级理解，并将这些概念应用于若干重要的工程和生物应用场景。 课程大纲： 1. 理论：经典热力学 2. 理论：统计学与统计热力学简介 3. 理论：非相互作用系统 4. 理论：相互作用系统 5. 应用：水、聚合物与光合作用 6. 应用：光合作用与液体 7. 应用：吸附与电解质 8. 感谢致辞 通过本课程，学员将获得对热力学基本原理的深入理解，并能够将这些原理应用于实际的工程和生物学问题.
Name:Theory: Classical Thermodynamics
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Name:Theory: Introduction to Statistics and Statistical Thermodynamics
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Name:Theory: Non-interacting systems
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Name:Theory: Interacting systems
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Name:Applications: Water, Polymer and Photosynthesis
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Name:Applications: Photosynthesis, Liquids
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Name:Application: Adsorption, Electrolytes
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Name:Thank You
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Modern engineering research focuses on designing new materials and processes at the molecular level. Statistical thermodynamics provides the formalism for understanding how molecular interactions lead to the observed collective behavior at the macroscale. This course will develop a molecular-level understanding of key thermodynamic quantities like heat, work, free energy and entropy. These concepts will be applied in understanding several important engineering and biological applications.
