cp-tools: A Python library for predicting heat capacity of crystalline substances
A Python library, called cp-tools, is presented that can be used to predict heat capacity cpof a crystalline phase based on the Debye temperature, thermal expansion coefficient at the Debye temperature, and the zero-Kelvin properties volume and bulk modulus. The temperature dependence of thermal exp...
Main Author: | Tilo Zienert |
---|---|
Format: | Article |
Language: | English |
Published: |
Elsevier
2019-01-01
|
Series: | SoftwareX |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2352711018301791 |
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