| 书目名称 | Thermodiffusion in Multicomponent Mixtures |
| 副标题 | Thermodynamic, Algeb |
| 编辑 | Seshasai Srinivasan,M. Ziad Saghir |
| 视频video | |
| 概述 | Provides a thorough review of thermodiffusion approproate for a wide range of readers from graduate students through advanced researchers/practitioners.Considers different types of mixtures including |
| 丛书名称 | SpringerBriefs in Applied Sciences and Technology |
| 图书封面 |  |
| 描述 | Thermodiffusion in Multicomponent Mixtures presents the computational approaches that are employed in the study of thermodiffusion in various types of mixtures, namely, hydrocarbons, polymers, water-alcohol, molten metals, and so forth. We present a detailed formalism of these methods that are based on non-equilibrium thermodynamics or algebraic correlations or principles of the artificial neural network. The book will serve as single complete reference to understand the theoretical derivations of thermodiffusion models and its application to different types of multi-component mixtures. An exhaustive discussion of these is used to give a complete perspective of the principles and the key factors that govern the thermodiffusion process. |
| 出版日期 | Book 2013 |
| 关键词 | Artificial Neural Networks; Associating Mixtures; Computational Fluid Dynamics; Ionic Mixtures; Non-asso |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-1-4614-5599-8 |
| isbn_softcover | 978-1-4614-5598-1 |
| isbn_ebook | 978-1-4614-5599-8Series ISSN 2191-530X Series E-ISSN 2191-5318 |
| issn_series | 2191-530X |
| copyright | Springer Science+Business Media, LLC 2013 |
发表于 2025-3-21 17:08:07
