1
|
Hoehn BD, Kellstedt EA, Hillmyer MA. Tough polycyclooctene nanoporous membranes from etchable block copolymers. SOFT MATTER 2024; 20:437-448. [PMID: 38112234 DOI: 10.1039/d3sm01498c] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/21/2023]
Abstract
Porous materials with pore dimensions of the nanometer length scale are useful as nanoporous membranes. ABA triblock copolymers are convenient precursors to such nanoporous materials if the end blocks are easily degradable (e.g., polylactide or PLA), leaving nanoporous polymeric membranes (NPMs) if in thin film form. The membrane properties are dependent on midblock monomer structure, triblock copolymer composition, overall molar mass, and polymer processing conditions. Polycyclooctene (PCOE) NPMs were prepared using this method, with tunable pore sizes on the order of tens of nanometers. Solvent casting was shown to eliminate film defects and allowed achievement of superior mechanical properties over melt processing techniques, and PCOE NPMs were found to be very tough, a major advance over previously reported NPMs. Oxygen plasma etching was used to remove the surface skin layer to obtain membranes with higher surface porosity, membrane hydrophilicity, and flux of both air and water. This is a straightforward method to reliably produce highly tough NPMs with high levels of porosity and hydrophilic surface properties.
Collapse
Affiliation(s)
- Brenden D Hoehn
- Department of Chemical Engineering and Materials Science, University of Minnesota, Minneapolis, MN 55455-0431, USA
| | | | - Marc A Hillmyer
- Department of Chemistry, University of Minnesota, Minneapolis, MN 55455-0431, USA.
| |
Collapse
|
2
|
Guo W, Chai S, Zhang L, Du J. Computer‐Aided Design of Crosslinked Polymer Membrane Using Machine Learning and Molecular Dynamics. CHEM-ING-TECH 2022. [DOI: 10.1002/cite.202200131] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Affiliation(s)
- Wenjing Guo
- Dalian University of Technology Institute of Process Systems Engineering, School of Chemical Engineering 116024 Dalian China
| | - Shiyang Chai
- Dalian University of Technology Institute of Process Systems Engineering, School of Chemical Engineering 116024 Dalian China
| | - Lei Zhang
- Dalian University of Technology Institute of Process Systems Engineering, School of Chemical Engineering 116024 Dalian China
| | - Jian Du
- Dalian University of Technology Institute of Process Systems Engineering, School of Chemical Engineering 116024 Dalian China
| |
Collapse
|
3
|
Li J, Maravelias CT, Van Lehn RC. Adaptive Conformer Sampling for Property Prediction Using the Conductor-like Screening Model for Real Solvents. Ind Eng Chem Res 2022. [DOI: 10.1021/acs.iecr.2c01163] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Affiliation(s)
- Jianping Li
- Department of Chemical and Biological Engineering and DOE Great Lakes Bioenergy Research Center, University of Wisconsin-Madison, Madison, Wisconsin 53706, United States
| | - Christos T. Maravelias
- Department of Chemical and Biological Engineering and Andlinger Center for Energy and the Environment, Princeton University, Princeton, New Jersey 08540, United States
| | - Reid C. Van Lehn
- Department of Chemical and Biological Engineering and DOE Great Lakes Bioenergy Research Center, University of Wisconsin-Madison, Madison, Wisconsin 53706, United States
| |
Collapse
|
4
|
|
5
|
Rivera Gil JL, Serna J, Arrieta‐Escobar JA, Narváez Rincón PC, Boly V, Falk V. Triggers for Chemical Product Design: A Systematic Literature Review. AIChE J 2022. [DOI: 10.1002/aic.17563] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/05/2023]
Affiliation(s)
- Jose Luis Rivera Gil
- Équipe de Recherche sur les Processus Innovatifs, ERPI‐ENSGSI Université de Lorraine Nancy Cedex France
- Grupo de investigación en Procesos Químicos y Bioquímicos, Departamento de Ingeniería Química y Ambiental Universidad Nacional de Colombia—Sede Bogotá Bogotá Colombia
| | - Juliana Serna
- Équipe de Recherche sur les Processus Innovatifs, ERPI‐ENSGSI Université de Lorraine Nancy Cedex France
- Grupo de investigación en Procesos Químicos y Bioquímicos, Departamento de Ingeniería Química y Ambiental Universidad Nacional de Colombia—Sede Bogotá Bogotá Colombia
| | - Javier A. Arrieta‐Escobar
- Grupo de investigación en Procesos Químicos y Bioquímicos, Departamento de Ingeniería Química y Ambiental Universidad Nacional de Colombia—Sede Bogotá Bogotá Colombia
- Laboratoire Réactions et Génie des Procédés CNRS‐Université de Lorraine Nancy Cedex France
| | - Paulo César Narváez Rincón
- Grupo de investigación en Procesos Químicos y Bioquímicos, Departamento de Ingeniería Química y Ambiental Universidad Nacional de Colombia—Sede Bogotá Bogotá Colombia
| | - Vincent Boly
- Équipe de Recherche sur les Processus Innovatifs, ERPI‐ENSGSI Université de Lorraine Nancy Cedex France
| | - Veronique Falk
- Laboratoire Réactions et Génie des Procédés CNRS‐Université de Lorraine Nancy Cedex France
| |
Collapse
|
6
|
Guo W, Liu Q, Zhang L, Du J, Zhu X, Fung KY, Yu Y, Ng KM. Computer-Aided Design of a Perfluorinated Sulfonic Acid Proton Exchange Membrane Using Stochastic Optimization and Molecular Dynamic Method. Ind Eng Chem Res 2021. [DOI: 10.1021/acs.iecr.1c03661] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Affiliation(s)
- Wenjing Guo
- Institute of Process Systems Engineering, School of Chemical Engineering, Dalian University of Technology, Dalian 116024, China
| | - Qilei Liu
- Institute of Process Systems Engineering, School of Chemical Engineering, Dalian University of Technology, Dalian 116024, China
| | - Lei Zhang
- Institute of Process Systems Engineering, School of Chemical Engineering, Dalian University of Technology, Dalian 116024, China
| | - Jian Du
- Institute of Process Systems Engineering, School of Chemical Engineering, Dalian University of Technology, Dalian 116024, China
| | - Xiuling Zhu
- State Key Lab of Fine Chemicals, Department of Polymer Science & Materials, Dalian University of Technology, Dalian 116024, China
| | - Ka Yip Fung
- Department of Chemical and Biological Engineering, The Hong Kong University of Science and Technology, Clear Water Bay, 999077 Hong Kong
| | - Yong Yu
- Department of Chemical and Biological Engineering, The Hong Kong University of Science and Technology, Clear Water Bay, 999077 Hong Kong
| | - Ka Ming Ng
- Department of Chemical and Biological Engineering, The Hong Kong University of Science and Technology, Clear Water Bay, 999077 Hong Kong
| |
Collapse
|
7
|
Drioli E, Macedonio F, Tocci E. Membrane Science and membrane Engineering for a sustainable industrial development. Sep Purif Technol 2021. [DOI: 10.1016/j.seppur.2021.119196] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
|
8
|
Yang Y, Ye H, Zhu W, Zou X, Dong H. Polymer Product Design: Considering Detailed Polymer Attributes and Production Guidelines. Ind Eng Chem Res 2021. [DOI: 10.1021/acs.iecr.1c01647] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Affiliation(s)
- Yang Yang
- School of Chemical Engineering, Dalian University of Technology, Dalian 116024, China
| | - Haotian Ye
- School of Chemical Engineering, Dalian University of Technology, Dalian 116024, China
| | - Weixuan Zhu
- School of Chemical Engineering, Dalian University of Technology, Dalian 116024, China
| | - Xiong Zou
- School of Chemical Engineering, Dalian University of Technology, Dalian 116024, China
| | - Hongguang Dong
- School of Chemical Engineering, Dalian University of Technology, Dalian 116024, China
| |
Collapse
|
9
|
Liu R, Armaou A, Chen X. Adaptable Parallel Acceleration Strategy for Dynamic Monte Carlo Simulations of Polymerization with Microscopic Resolution. Ind Eng Chem Res 2021. [DOI: 10.1021/acs.iecr.0c05795] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Affiliation(s)
- Rui Liu
- State Key Laboratory of Industrial Control Technology, College of Control Science and Engineering, Zhejiang University, Hangzhou 310027, China
| | - Antonios Armaou
- Chemical Engineering Department, The Pennsylvania State University, University Park, Pennsylvania 16802, United States
- Mechanical Engineering Department, The Pennsylvania State University, University Park, Pennsylvania 16802, United States
| | - Xi Chen
- State Key Laboratory of Industrial Control Technology, College of Control Science and Engineering, Zhejiang University, Hangzhou 310027, China
- National Center for International Research on Quality-targeted Process Optimization and Control, Zhejiang University, Hangzhou 310027, China
| |
Collapse
|
10
|
Yang Y, Zou X, Ye H, Zhu W, Dong H, Bi M. Modified Group Contribution Scheme to Predict the Glass-Transition Temperature of Homopolymers through a Limiting Property Dataset. ACS OMEGA 2020; 5:29538-29546. [PMID: 33225185 PMCID: PMC7676332 DOI: 10.1021/acsomega.0c04499] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/14/2020] [Accepted: 10/28/2020] [Indexed: 06/11/2023]
Abstract
Previous studies on glass-transition temperature (T g) prediction mainly focus on developing diverse methods with higher regression accuracy, but very little attention has been paid to the dataset. Generally, a large range of T g values of a specified polymer could be found in the literature but which one should be selected into a dataset merely depends on the implicit preference rather than a recognized and clear criterion. In this paper, limiting glass-transition temperature (T g(∞)), a constant value obtained at the infinite number-average molecular weight M n, was validated to be an adequate bridge index in the T g prediction models. Furthermore, a new dataset containing 198 polymers was established to predict T g(∞) using the improved group contribution method and it showed a good correlation (R 2 = 0.9925, adjusted R 2 = 0.9894). The method could also generate T g-M n curves by introducing the T g(∞) function and provide more information to polymer scientists and engineers for material selection, product design, and synthesis.
Collapse
Affiliation(s)
- Yang Yang
- School
of Chemical Engineering, Dalian University
of Technology, Linggong Road 2#, Ganjingzi District, Dalian, Liaoning 116024, China
| | - Xiong Zou
- School
of Chemical Engineering, Dalian University
of Technology, Linggong Road 2#, Ganjingzi District, Dalian, Liaoning 116024, China
- School
of Energy and Power Engineering, Dalian
University of Technology, Linggong Road 2#, Ganjingzi District, Dalian, Liaoning 116024, China
| | - Haotian Ye
- School
of Chemical Engineering, Dalian University
of Technology, Linggong Road 2#, Ganjingzi District, Dalian, Liaoning 116024, China
| | - Weixuan Zhu
- School
of Chemical Engineering, Dalian University
of Technology, Linggong Road 2#, Ganjingzi District, Dalian, Liaoning 116024, China
| | - Hongguang Dong
- School
of Chemical Engineering, Dalian University
of Technology, Linggong Road 2#, Ganjingzi District, Dalian, Liaoning 116024, China
| | - Mingshu Bi
- School
of Chemical Engineering, Dalian University
of Technology, Linggong Road 2#, Ganjingzi District, Dalian, Liaoning 116024, China
| |
Collapse
|
11
|
Zhang L, Pang J, Zhuang Y, Liu L, Du J, Yuan Z. Integrated solvent-process design methodology based on COSMO-SAC and quantum mechanics for TMQ (2,2,4-trimethyl-1,2-H-dihydroquinoline) production. Chem Eng Sci 2020. [DOI: 10.1016/j.ces.2020.115894] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/24/2022]
|
12
|
Wu J, Wang S, Zhou L, Ji X, Dai Y, Dang Y, Kraft M. Deep-Learning Architecture in QSPR Modeling for the Prediction of Energy Conversion Efficiency of Solar Cells. Ind Eng Chem Res 2020. [DOI: 10.1021/acs.iecr.0c03880] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Affiliation(s)
- Jinkui Wu
- School of Chemical Engineering, Sichuan University, Chengdu 610065, China
| | - Shihui Wang
- School of Chemical Engineering, Sichuan University, Chengdu 610065, China
| | - Li Zhou
- School of Chemical Engineering, Sichuan University, Chengdu 610065, China
| | - Xu Ji
- School of Chemical Engineering, Sichuan University, Chengdu 610065, China
| | - Yiyang Dai
- School of Chemical Engineering, Sichuan University, Chengdu 610065, China
| | - Yagu Dang
- School of Chemical Engineering, Sichuan University, Chengdu 610065, China
| | - Markus Kraft
- Cambridge Center for Advanced Research and Education in Singapore Ltd., 1 Create Way, 138602 Singapore
- Department of Chemical Engineering and Biotechnology, University of Cambridge, Philippa Fawcett Drive, Cambridge CB3 0AS, U.K
- School of Chemical and Biomedical Engineering, Nanyang Technological University, 62 Nanyang Drive, Singapore 637459, Singapore
| |
Collapse
|
13
|
Abstract
Computational modelling and simulation form a consolidated branch in the multidisciplinary field of membrane science and technology [...]
Collapse
|
14
|
Zhang L, Mao H, Liu Q, Gani R. Chemical product design – recent advances and perspectives. Curr Opin Chem Eng 2020. [DOI: 10.1016/j.coche.2019.10.005] [Citation(s) in RCA: 41] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/29/2023]
|
15
|
Mapari S, Camarda KV. Use of three-dimensional descriptors in molecular design for biologically active compounds. Curr Opin Chem Eng 2020. [DOI: 10.1016/j.coche.2019.11.011] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
|