状态方程
统计物理学
物理
国家(计算机科学)
热力学
数学
算法
作者
Chengzhen Sun,Haoxuan Li,Zhixiang Zhao,M. Neek-Amal,Bofeng Bai
出处
期刊:Physical review
[American Physical Society]
日期:2025-02-11
卷期号:111 (2): 025413-025413
被引量:4
标识
DOI:10.1103/physreve.111.025413
摘要
The pressure prediction of nanoconfined gases is crucial for various industrial applications, yet existing equations of state (EOS) often compromise between accuracy and usability. This study derives a theoretical EOS in analytical form, combining precision and practicality through statistical physics. It begins by examining the pressure drop mechanism due to adsorbed molecules and refines molecular pairing and potential energy interactions. The resulting EOS accurately predicts the pressure of gases in nanoconfined spaces, especially with an average prediction error of about 5% for strongly adsorbing gases like nitrogen, oxygen, and argon. Additionally, it aligns with the Van der Waals EOS under macroscopic conditions, offering a unified framework across scales. This model enhances both engineering applications and the understanding of nanoconfined EOS.
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