TY - JOUR
T1 - Computer-Aided Design of a Perfluorinated Sulfonic Acid Proton Exchange Membrane Using Stochastic Optimization and Molecular Dynamic Method
AU - Guo, Wenjing
AU - Liu, Qilei
AU - Zhang, Lei
AU - Du, Jian
AU - Zhu, Xiuling
AU - Fung, Ka Yip
AU - Yu, Yong
AU - Ng, Ka Ming
N1 - Publisher Copyright:
© 2021 American Chemical Society.
PY - 2021/12/15
Y1 - 2021/12/15
N2 - In this paper, a computer-aided polymer design (CAPD) framework with a stochastic optimization model is proposed for the design of perfluorinated sulfonic acid proton exchange membrane (PFSA-PEM) with desired properties. First, the requirements and target characteristics are identified and converted to property constraints. Then, the polymer design model is formulated as a stochastic optimization problem in which the operation temperature is treated as a random variable. Subsequently, the formulated stochastic mixed integer nonlinear programming problem is solved by a two-stage strategy. In stage I, molecular dynamics is utilized to simulate the target properties for different structures and quantities of side chains, thus establishing the quantitative structure-property relationship. In stage II, the operation temperature is considered subject to a specified probability distribution. The optimization model is solved to obtain the optimal polymer structure over the operating temperature range. Finally, a case study of PFSA-PEM design is given to illustrate the application of the CAPD framework.
AB - In this paper, a computer-aided polymer design (CAPD) framework with a stochastic optimization model is proposed for the design of perfluorinated sulfonic acid proton exchange membrane (PFSA-PEM) with desired properties. First, the requirements and target characteristics are identified and converted to property constraints. Then, the polymer design model is formulated as a stochastic optimization problem in which the operation temperature is treated as a random variable. Subsequently, the formulated stochastic mixed integer nonlinear programming problem is solved by a two-stage strategy. In stage I, molecular dynamics is utilized to simulate the target properties for different structures and quantities of side chains, thus establishing the quantitative structure-property relationship. In stage II, the operation temperature is considered subject to a specified probability distribution. The optimization model is solved to obtain the optimal polymer structure over the operating temperature range. Finally, a case study of PFSA-PEM design is given to illustrate the application of the CAPD framework.
UR - https://www.webofscience.com/wos/woscc/full-record/WOS:000755188600023
UR - https://openalex.org/W3215368186
UR - https://www.scopus.com/pages/publications/85120773539
U2 - 10.1021/acs.iecr.1c03661
DO - 10.1021/acs.iecr.1c03661
M3 - Journal Article
SN - 0888-5885
VL - 60
SP - 18045
EP - 18057
JO - Industrial and Engineering Chemistry Research
JF - Industrial and Engineering Chemistry Research
IS - 49
ER -