Citation: Li Mengshan, Huang Xingyuan, Liu Hesheng, Chen Bingsheng, Yuan Shoucai. Research Progress in Prediction of Supercritical CO₂ Solubility in Polymers[J]. Chemistry, ;2016, 79(7): 610-615. shu

Research Progress in Prediction of Supercritical CO₂ Solubility in Polymers

1.
1. College of Physics and Electronic Information, Gannan Normal University, Ganzhou 341000;
2.
2. College of Mechanical and Electric Engineering, Nanchang University, Nanchang 330031

Received Date: 9 November 2015
Available Online: 12 January 2016
Fund Project:

In this paper, the prediction methods of supercritical CO₂ solubility in polymers such as equations of state, empirical equation and artificial neural networks are summarized, and the details of their implementation principle, progress, merits and faults are discussed. Motivated and inspired by the problems of the artificial neural networks, the solubility prediction models based on hybrid artificial neural networks are discussed. Then the prospect of solubility prediction is proposed.
- Solubility Prediction,
- Polymer,
- Hybrid Neural Network,
- Equation of State,
- Empirical Equation
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  南开大学师唯/华北电力大学（保定）刘景维：二维配位聚合物中有序的亲锂冠醚位点用于无枝晶锂沉积
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通讯作者: 陈斌, bchen63@163.com

1.
沈阳化工大学材料科学与工程学院沈阳 110142

Research Progress in Prediction of Supercritical CO2 Solubility in Polymers

南开大学师唯/华北电力大学（保定）刘景维：二维配位聚合物中有序的亲锂冠醚位点用于无枝晶锂沉积

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通讯作者: 陈斌, bchen63@163.com

Research Progress in Prediction of Supercritical CO₂ Solubility in Polymers