在氧化材料中信息和孔隙连接性之间的相关性与随机无序的孔隙性
Antigoni G Margellou1, Gerasimos S Armatas2, Konstantina Kolonia3,4
1Department of Chemistry, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece.
Physical chemistry chemical physics : PCCP
|January 9, 2026
概括
这项研究揭示了无机多孔材料中信息和孔隙连接性之间强烈的线性联系. 这一发现为了解无序的多孔结构中的流体运输提供了新的见解.
科学领域:
- 材料科学 材料科学 材料科学
- 物理化学 物理化学
- 统计力学 统计力学
背景情况:
- 孔隙连接对于有孔的固体中的流体运输至关重要.
- 信息量化了毛孔大小分布的随机性.
- 无机材料中这些特性之间的联系尚未被探索.
研究的目的:
- 研究孔隙连接性和香农信息的相关性.
- 分析无机多孔材料中的孔径分布.
- 建立一个数量关系,以发现无序的多孔性.
主要方法:
- 使用气孔径测量用于孔径大小分布分析.
- 采用基于吸附 - 脱附歇斯底里循环的西顿方法,用于孔隙连接.
- 从毛孔大小分布计算了香农信息.
主要成果:
- 证明了二进制信息和孔隙连接的二进制对数之间的强有力的线性相关性.
- 在16种氧化--瓦纳酸盐多孔固体中观察到这种关系.
- 发现孔隙连接性和信息是通过随机包装原理联系在一起的.
结论:
- 该研究确立了毛孔连接性和信息在无序的多孔材料之间的基本关系.
- 这种相关性是由随机毛孔包装的统计力学解释的.
- 这些发现为基于信息理论的多孔材料的特征提供了一种新方法.
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