Predicting the Self-Diffusion Coefficient of Liquids Based on Backpropagation Artificial Neural Network: A Quantitative Structure–Property Relationship Study

The self-diffusion coefficient of pure liquids, a fundamental transport property, is involved in a wide range of applications. Many methods have been employed to study the self-diffusion coefficient, with the most popular being semiempirical models. The quantitative structure–property relationship (...

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Veröffentlicht in:	Industrial & engineering chemistry research 2022-12, Vol.61 (48), p.17697-17706
Hauptverfasser:	Zeng, Fazhan, Wan, Ren, Xiao, Yongjun, Song, Fan, Peng, Changjun, Liu, Honglai
Format:	Artikel
Sprache:	eng
Schlagworte:	Thermodynamics, Transport, and Fluid Mechanics
Online-Zugang:	Volltext
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