面向未知离子结构外推的离子液体CO₂溶解度物理引导级联预测模型

包赢政; 周怀荣; 杨勇; 王东亮; 杨庆春

doi:10.11949/0438-1157.20260686

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面向未知离子结构外推的离子液体CO₂溶解度物理引导级联预测模型

智能过程工程 | 更新时间：2026-07-17

- 面向未知离子结构外推的离子液体CO₂溶解度物理引导级联预测模型
- Physics-guided cascade prediction of CO₂ solubility in ionic liquids for extrapolation to unseen ionic structures
- 化工学报 2026年
- 作者机构：
  
  1.兰州理工大学石油化工学院，甘肃兰州 730050
  2.合肥工业大学化学与化工学院，安徽合肥 230009
- 作者简介：
  
  包赢政（2002—），男，硕士研究生，2043983041@qq.com
  周怀荣（1988—），男，博士，副教授，zhouhr@lut.edu.cn
- 基金信息：
  
  国家自然科学基金项目(22568027)
- DOI：10.11949/0438-1157.20260686
  中图分类号： O645.12;TQ028.2;TP181
- 收稿：2026-05-18，
  
  修回：2026-07-17，
  
  录用：2026-07-17，
- 稿件说明：
移动端阅览
包赢政, 周怀荣, 杨勇, 等. 面向未知离子结构外推的离子液体CO₂溶解度物理引导级联预测模型[J/OL]. 化工学报, 2026.

BAO Yingzheng, ZHOU Huairong, YANG Yong, et al. Physics-guided cascade prediction of CO₂ solubility in ionic liquids for extrapolation to unseen ionic structures[J/OL]. CIESC Journal, 2026.
包赢政, 周怀荣, 杨勇, 等. 面向未知离子结构外推的离子液体CO₂溶解度物理引导级联预测模型[J/OL]. 化工学报, 2026. DOI： 10.11949/0438-1157.20260686.

BAO Yingzheng, ZHOU Huairong, YANG Yong, et al. Physics-guided cascade prediction of CO₂ solubility in ionic liquids for extrapolation to unseen ionic structures[J/OL]. CIESC Journal, 2026. DOI： 10.11949/0438-1157.20260686.

摘要

针对统一回归模型难以同时表征低溶解度尾部、低压近Henry区和高压非理想区的问题，构建融合COSMO-RS Henry先验、Apparent Henry校准、分类门控和压力路由的物理引导级联模型。基于932124个COSMO-RS Henry数据和297种离子液体的22294个实验数据进行建模。分类门控后，低压和高压分支测试集决定系数（coefficient of determination，R²）分别为0.905和0.865；完整模型在离子液体配对（ionic-liquid pair，IL-pair）、Cation和Anion划分下的R²分别为0.823、0.591和0.780，较最佳基线提高0.189、0.048和0.473。该模型可用于高CO₂溶解度离子液体的计算初筛，但仍需独立实验及多物性评价。

Abstract

A physics-guided cascade model integrating a COSMO-RS Henry prior

apparent-Henry calibration

classifiCation gating

and pressure-based routing was developed to address the difficulty of simultaneously describing the low-solubility tail

the low-pressure near-Henry region

and the high-pressure non-ideal region using a unified regression model. The framework was constructed using 932

124 COSMO-RS Henry-constant data points and 22

294 experimental CO₂-solubility data points for 297 ionic liquids. After classifiCation gating

the low- and high-pressure branches achieved test R² values of 0.905 and 0.865

respectively. The complete cascade model achieved test R² values of 0.823

0.591

and 0.780 under the IL-pair

Cation

and Anion splits

representing improvements

关键词

Keywords

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