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个人信息

姓  名:彭代力

学  历:博 士

职  称:副研究员

电子邮箱:daili.peng@ccnu.edu.cn


教育与研究经历

彭代力,华中师范大学化学学院环境与应用化学研究所副研究员。主要从事绿色溶剂(离子液体、低共融溶剂)设计、化工分离过程模拟、化工热力学与人工智能交叉应用等研究。在国际主流化工学术期刊Chem. Eng. Sci.Ind. Eng. Chem. Res.ACS Sustain. Chem. Eng.Sep. Purif. Technol.J. Hazard. Mater.等发表文章十余篇。

2024年9月至今:华中师范大学化学学院,副研究员;

2021年7月-2024年6月:慕尼黑工业大学,博士后;

2016年9月-2021年5月:格罗宁根大学,博士;

2013年9月-2016年6月:华东理工大学化工学院,硕士;


研究领域与兴趣

1.化工分离过程绿色溶剂设计;

2.化工热力学模型的建立与优化;

3.基于人工智能的溶剂构效关系模拟;


承担项目与课题信息

1.华中师范大学人才启动经费,2024.09-2029.09,主持


代表性论文

1.Peng Daili* and Minceva Mirjana.2024.“Predicting the density and viscosity of deep eutectic solvents at atmospheric and elevated pressure.”Fluid Phase Equilibria, 582:114086.


2.Peng Daili*, Yu Zhen,Alhadid Ahmad, and Minceva Mirjana.2024.“Modeling the viscosity of ChCl-based deep eutectic solvents and their mixtures with water.”Industrial & Engineering Chemistry Research 63(3):1623–1633.


3.Hu Jinxia,Peng Daili*,Huang Xinyi,Wang Ningli, Liu Baoqian,Di Duolong,Liu Jianfei,Qu Qingli,and Pei Dong*. 2023.“COSMO-SAC and QSPR Combined Models: A Flexible and Reliable Strategy for Screening the Extraction Efficiency of Deep Eutectic Solvents.”Separation and Purification Technology 315:123699.(Both authors contributed equally)


4.Peng Daili*,Alhadid* Ahmad,and Minceva Mirjana.2022.“Assessment of COSMO-SAC Predictions for Solid–Liquid Equilibrium in Binary Eutectic Systems.” Industrial & Engineering Chemistry Research 61(35):13256–64.


5.Peng Daili, Kleiweg Anne Jan, Winkelman Jozef G.M.,Song Zhen*,and Picchioni Francesco*.2021.“A Hierarchical Hybrid Method for Screening Ionic Liquid Solvents for Extractions Exemplified by the Extractive Desulfurization Process.”ACS Sustainable Chemistry and Engineering 9(7):2705–16.


6.Peng Daili,and Picchioni Francesco*.2020.“Prediction of Toxicity of Ionic Liquids Based on GC-COSMO Method.”Journal of Hazardous Materials 398:122964–75.


7.Peng Daili, Zhang Jianan,Cheng Hongye, Chen Lifang*, and Qi Zhiwen*.2017.“Computer-Aided Ionic Liquid Design for Separation Processes Based on Group Contribution Method and COSMO-SAC Model.”Chemical Engineering Science 159:58–68.

 

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