1
|
Fiosina J, Sievers P, Kanagaraj G, Drache M, Beuermann S. Reverse Engineering of Radical Polymerizations by Multi-Objective Optimization. Polymers (Basel) 2024; 16:945. [PMID: 38611203 PMCID: PMC11013925 DOI: 10.3390/polym16070945] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2024] [Revised: 03/08/2024] [Accepted: 03/26/2024] [Indexed: 04/14/2024] Open
Abstract
Reverse engineering is applied to identify optimum polymerization conditions for the synthesis of polymers with pre-defined properties. The proposed approach uses multi-objective optimization (MOO) and provides multiple candidate polymerization procedures to achieve the targeted polymer property. The objectives for optimization include the maximal similarity of molar mass distributions (MMDs) compared to the target MMDs, a minimal reaction time, and maximal monomer conversion. The method is tested for vinyl acetate radical polymerizations and can be adopted to other monomers. The data for the optimization procedure are generated by an in-house-developed kinetic Monte-Carlo (kMC) simulator for a selected recipe search space. The proposed reverse engineering algorithm comprises several steps: kMC simulations for the selected recipe search space to derive initial data, performing MOO for a targeted MMD, and the identification of the Pareto optimal space. The last step uses a weighted sum optimization function to calculate the weighted score of each candidate polymerization condition. To decrease the execution time, clustering of the search space based on MMDs is applied. The performance of the proposed approach is tested for various target MMDs. The suggested MOO-based reverse engineering provides multiple recipe candidates depending on competing objectives.
Collapse
Affiliation(s)
- Jelena Fiosina
- Institute of Informatics, Clausthal University of Technology, Julius-Albert-Str. 4, 38678 Clausthal-Zellerfeld, Germany
| | - Philipp Sievers
- Institute of Technical Chemistry, Clausthal University of Technology, Arnold-Sommerfeld-Strasse 4, 38678 Clausthal-Zellerfeld, Germany; (P.S.); (M.D.)
| | - Gavaskar Kanagaraj
- Institute of Informatics, Clausthal University of Technology, Julius-Albert-Str. 4, 38678 Clausthal-Zellerfeld, Germany
| | - Marco Drache
- Institute of Technical Chemistry, Clausthal University of Technology, Arnold-Sommerfeld-Strasse 4, 38678 Clausthal-Zellerfeld, Germany; (P.S.); (M.D.)
| | - Sabine Beuermann
- Institute of Technical Chemistry, Clausthal University of Technology, Arnold-Sommerfeld-Strasse 4, 38678 Clausthal-Zellerfeld, Germany; (P.S.); (M.D.)
| |
Collapse
|
2
|
Wang TT, Zhou YN, Luo ZH, Zhu S. Beauty of Explicit Dispersity ( Đ) Equations in Controlled Polymerizations. ACS Macro Lett 2023; 12:1423-1436. [PMID: 37812608 DOI: 10.1021/acsmacrolett.3c00484] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/11/2023]
Abstract
Dispersity (Đ) as a critical parameter indicates the level of uniformity of the polymer molar mass or chain length. In the past several decades, the development of explicit equations for calculating Đ experiences a continual revolution. This viewpoint tracks the historical evolution of the explicit equations from living to reversible-deactivation polymerization systems. Emphasis is laid on displaying the charm of explicit Đ equations in batch reversible-deactivation radical polymerization (RDRP), with highlights of the relevant elegant mathematical manipulations. Some representative emerging applications enabled by the existing explicit equations are shown, involving nitroxide-mediated polymerization (NMP), atom transfer radical polymerization (ATRP), and reversible addition-fragmentation chain transfer (RAFT) polymerization systems. Stemming from the several outlined challenges and outlooks, sustained concerns about the explicit Đ equations are still highly deserved. It is expected that these equations will continue to play an important role not only in traditional polymerization kinetic simulation and design of experiments but also in modern intelligent manufacturing of precision polymers and classroom education.
Collapse
Affiliation(s)
- Tian-Tian Wang
- Department of Chemical Engineering, School of Chemistry and Chemical Engineering, Shanghai Jiao Tong University, Shanghai 200240, PR China
| | - Yin-Ning Zhou
- Department of Chemical Engineering, School of Chemistry and Chemical Engineering, Shanghai Jiao Tong University, Shanghai 200240, PR China
| | - Zheng-Hong Luo
- Department of Chemical Engineering, School of Chemistry and Chemical Engineering, Shanghai Jiao Tong University, Shanghai 200240, PR China
| | - Shiping Zhu
- School of Science and Engineering, The Chinese University of Hong Kong, Shenzhen 518172, PR China
| |
Collapse
|
3
|
López-Domínguez P, Saldívar-Guerra E, Trevino ME, Zapata-González I. Precise Modeling of the Particle Size Distribution in Emulsion Polymerization: Numerical and Experimental Studies for Model Validation under Ab Initio Conditions. Polymers (Basel) 2023; 15:4467. [PMID: 38006191 PMCID: PMC10674919 DOI: 10.3390/polym15224467] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2023] [Revised: 11/10/2023] [Accepted: 11/16/2023] [Indexed: 11/26/2023] Open
Abstract
The particle size distribution (PSD) in emulsion polymerization (EP) has been modeled in the past using either the pseudo bulk (PB) or the 0-1/0-1-2 approaches. There is some controversy on the proper type of model to be used to simulate the experimental PSDs, which are apparently broader than the theoretical ones. Additionally, the numerical technique employed to solve the model equations, involving hyperbolic partial differential equations (PDEs) with moving and possibly steep fronts, has to be precise and robust, which is not a trivial matter. A deterministic kinetic model for the PSD evolution of ab initio EP of vinyl monomers was developed to investigate these issues. The model considers three phases, micellar nucleation, and particles that can contain n≥0 radicals. Finite volume (FV) and weighted-residual methods are used to solve the system of PDEs and compared; their limitations are also identified. The model was validated by comparing predictions with data of monomer conversion and PSD for the batch emulsion homopolymerization of styrene (Sty) and methyl methacrylate (MMA) using sodium dodecyl sulfate (SDS)/potassium persulfate (KPS) at 60 °C, as well as the copolymerization of Sty-MMA (50/50; mol/mol) at 50 and 60 °C. It is concluded that the PB model has a structural problem when attempting to adequately represent PSDs with steep fronts, so its use is discouraged. On the other hand, there is no generalized evidence of the need to add a stochastic term to enhance the PSD prediction of EP deterministic models.
Collapse
Affiliation(s)
| | - Enrique Saldívar-Guerra
- Centro de Investigación en Química Aplicada (CIQA), Saltillo 25294, Mexico; (P.L.-D.); (M.E.T.); (I.Z.-G.)
| | | | | |
Collapse
|
4
|
Takahashi S, Iuchi S, Hiraoka S, Sato H. Theoretical and computational methodologies for understanding coordination self-assembly complexes. Phys Chem Chem Phys 2023; 25:14659-14671. [PMID: 37051715 DOI: 10.1039/d3cp00082f] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/14/2023]
Abstract
This perspective highlights three theoretical and computational methods to capture the coordination self-assembly processes at the molecular level: quantum chemical modeling, molecular dynamics, and reaction network analysis. These methods cover the different scales from the metal-ligand bond to a more global aspect, and approaches that are best suited to understand the coordination self-assembly from different perspectives are introduced. Theoretical and numerical researches based on these methods are not merely ways of interpreting the experimental studies but complementary to them.
Collapse
Affiliation(s)
- Satoshi Takahashi
- Department of Basic Science, Graduate School of Arts and Sciences, The University of Tokyo, 3-8-1 Komaba, Meguro-ku, Tokyo 153-8902, Japan.
| | - Satoru Iuchi
- Graduate School of Informatics, Nagoya University, Furo-cho, Chikusa-ku, Nagoya 464-8601, Japan
| | - Shuichi Hiraoka
- Department of Basic Science, Graduate School of Arts and Sciences, The University of Tokyo, 3-8-1 Komaba, Meguro-ku, Tokyo 153-8902, Japan.
| | - Hirofumi Sato
- Department of Molecular Engineering, Kyoto University, Nishikyo-ku, Kyoto 615-8510, Japan.
- Fukui Institute for Fundamental Chemistry, Kyoto University, Sakyo-ku, Kyoto 606-8103, Japan
| |
Collapse
|
5
|
Shin S, Lee D, Ye Oh J, Kim Y, Park MJ, Bo Lee W. CFD modeling of the ethylene-vinyl acetate copolymerization autoclave reactor: Effects of comonomer ratio on reactor dynamics and copolymer properties. Chem Eng Sci 2022. [DOI: 10.1016/j.ces.2022.118430] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023]
|
6
|
A Novel Method for Dynamic Molecular Weight Distribution Determination in Organometallic Catalyzed Olefin Polymerizations. Catalysts 2022. [DOI: 10.3390/catal12101130] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023] Open
Abstract
In this study, a mathematical model for the time evolution of molecular weight distribution (MWD) was developed. This temporal model is based on the well-known Ziegler–Natta polymerization mechanism and reaction kinetics by the parametric solving of related differential equations. However, due to the generality of the reactions involved, the model can be extended to the other type of catalysts, such as metallocenes, Phillips, etc. The superiority of this model lies in providing the possibility of a more precise prediction over the active sites and kinetic parameters using a simple mathematical equation, which leads to improved reactor design in large-scale production. The model uses a function to develop a methodology for MWD calculations. In this way, the transient response is limited to the first few minutes of the reaction; however, it is important as it demonstrates the establishment of the final MWD. According to the results, almost for practical conditions with negligible transfer resistances, the time dependency of the MWD has a transient interval, depending on the kinetic constants of polymerization reactions. Increasing the time to infinity results in an increase in MW and a widening in MWD, which confirms the experimental plots well. In short, the main advantage of our proposed model over the previous ones is its ability to predict the MWD even before the completion of the polymerization reaction. The results of the present model match well with those of the well-known Schulz–Flory distribution, which only predicts the final molecular weight distribution, thus confirming that the model is reliable and generalizable.
Collapse
|
7
|
Wang J, Wang T, Luo Z, Zhou Y. Analytical and Numerical Simulations of Depolymerization Based on Discrete Model: A Chain‐end Scission Scenario. AIChE J 2022. [DOI: 10.1002/aic.17854] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Affiliation(s)
- Jiang Wang
- Department of Chemical Engineering, School of Chemistry and Chemical Engineering, State Key Laboratory of Metal Matrix Composites Shanghai Jiao Tong University Shanghai PR China
| | - Tian‐Tian Wang
- Department of Chemical Engineering, School of Chemistry and Chemical Engineering, State Key Laboratory of Metal Matrix Composites Shanghai Jiao Tong University Shanghai PR China
| | - Zheng‐Hong Luo
- Department of Chemical Engineering, School of Chemistry and Chemical Engineering, State Key Laboratory of Metal Matrix Composites Shanghai Jiao Tong University Shanghai PR China
| | - Yin‐Ning Zhou
- Department of Chemical Engineering, School of Chemistry and Chemical Engineering, State Key Laboratory of Metal Matrix Composites Shanghai Jiao Tong University Shanghai PR China
| |
Collapse
|
8
|
Precision Polymer Synthesis by Controlled Radical Polymerization: Fusing the progress from Polymer Chemistry and Reaction Engineering. Prog Polym Sci 2022. [DOI: 10.1016/j.progpolymsci.2022.101555] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
|
9
|
De Keer L, Edeleva M, Figueira FL, Reyes P, D'hooge DR, Van Steenberge PH. Procedures and Guidelines for Inputting and Output Smoothening of Kinetic Monte Carlo Distributions. ADVANCED THEORY AND SIMULATIONS 2022. [DOI: 10.1002/adts.202100580] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
Affiliation(s)
- Lies De Keer
- Laboratory for Chemical Technology (LCT) Ghent University Technologiepark 125 Gent B‐9052 Belgium
| | - Mariya Edeleva
- Laboratory for Chemical Technology (LCT) Ghent University Technologiepark 125 Gent B‐9052 Belgium
| | - Freddy L. Figueira
- Laboratory for Chemical Technology (LCT) Ghent University Technologiepark 125 Gent B‐9052 Belgium
| | - Pablo Reyes
- Laboratory for Chemical Technology (LCT) Ghent University Technologiepark 125 Gent B‐9052 Belgium
| | - Dagmar R. D'hooge
- Laboratory for Chemical Technology (LCT) Ghent University Technologiepark 125 Gent B‐9052 Belgium
- Ghent University Centre for Textile Science and Engineering Technologiepark 70a Gent B‐9052 Belgium
| | - Paul H.M. Van Steenberge
- Laboratory for Chemical Technology (LCT) Ghent University Technologiepark 125 Gent B‐9052 Belgium
| |
Collapse
|
10
|
Trigilio A, Marien Y, Edeleva M, Van Steenberge P, D'hooge D. Optimal search methods for selecting distributed species in Gillespie-based kinetic Monte Carlo. Comput Chem Eng 2022. [DOI: 10.1016/j.compchemeng.2021.107580] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/05/2023]
|
11
|
Wu Y, Figueira FL, Edeleva M, Van Steenberge PHM, D'hooge DR, Zhou Y, Luo Z. Cost‐efficient modeling of distributed molar mass and topological variations in graft copolymer synthesis by upgrading the method of moments. AIChE J 2021. [DOI: 10.1002/aic.17559] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
Affiliation(s)
- Yi‐Yang Wu
- Department of Chemical Engineering, School of Chemistry and Chemical Engineering, State Key Laboratory of Metal Matrix Composites Shanghai Jiao Tong University Shanghai People's Republic of China
| | | | - Mariya Edeleva
- Laboratory for Chemical Technology (LCT) Ghent University Ghent Belgium
| | | | - Dagmar R. D'hooge
- Laboratory for Chemical Technology (LCT) Ghent University Ghent Belgium
- Centre for Textiles Science and Engineering (CTSE) Ghent University Ghent Belgium
| | - Yin‐Ning Zhou
- Department of Chemical Engineering, School of Chemistry and Chemical Engineering, State Key Laboratory of Metal Matrix Composites Shanghai Jiao Tong University Shanghai People's Republic of China
| | - Zheng‐Hong Luo
- Department of Chemical Engineering, School of Chemistry and Chemical Engineering, State Key Laboratory of Metal Matrix Composites Shanghai Jiao Tong University Shanghai People's Republic of China
| |
Collapse
|
12
|
Feuerpfeil A, Drache M, Jantke LA, Melchin T, Rodríguez-Fernández J, Beuermann S. Modeling Semi-Batch Vinyl Acetate Polymerization Processes. Ind Eng Chem Res 2021. [DOI: 10.1021/acs.iecr.1c03114] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Affiliation(s)
- Andreas Feuerpfeil
- Clausthal University of Technology, Institute of Technical Chemistry, Arnold-Sommerfeld-Straße 4, 38678 Clausthal-Zellerfeld, Germany
| | - Marco Drache
- Clausthal University of Technology, Institute of Technical Chemistry, Arnold-Sommerfeld-Straße 4, 38678 Clausthal-Zellerfeld, Germany
| | | | - Timo Melchin
- Wacker Chemie AG, Johannes-Hess-Str. 24, 84489 Burghausen, Germany
| | | | - Sabine Beuermann
- Clausthal University of Technology, Institute of Technical Chemistry, Arnold-Sommerfeld-Straße 4, 38678 Clausthal-Zellerfeld, Germany
| |
Collapse
|
13
|
Nasresfahani A, Hutchinson RA. An Efficient Monte Carlo Representation of Semi‐Batch Starved‐Feed Acrylate‐Methacrylate Multicomponent Radical Polymerization. MACROMOL REACT ENG 2021. [DOI: 10.1002/mren.202100030] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Affiliation(s)
- Amin Nasresfahani
- Department of Chemical Engineering Dupuis Hall, Queen's University Kingston ON K7L 3N6 Canada
| | - Robin A. Hutchinson
- Department of Chemical Engineering Dupuis Hall, Queen's University Kingston ON K7L 3N6 Canada
| |
Collapse
|
14
|
Tesser R, Santacesaria E. Monte Carlo Approach to the Simulation of Ethylene Oxide and Propylene Oxide Polymerization and Copolymerization. Ind Eng Chem Res 2021. [DOI: 10.1021/acs.iecr.1c01272] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/05/2023]
Affiliation(s)
- Riccardo Tesser
- NICL - Department of Chemical Sciences, University of Naples Federico II, Via Cinthia 21, 80126 Naples, Italy
| | - Elio Santacesaria
- CEO of Eurochem Engineering, Ltd., Via Codogno 5, 20139 Milano, Italy
| |
Collapse
|
15
|
Zhao J, Li B, Fan H. Molecular Weight Distribution in Ring‐Opening Polymerization of Propylene Oxide Catalyzed by Double Metal Complex: A Model Simulation. MACROMOL THEOR SIMUL 2021. [DOI: 10.1002/mats.202000101] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
Affiliation(s)
- Jing Zhao
- State Key Laboratory of Chemical Engineering College of Chemical and Biological Engineering Zhejiang University Hangzhou 310027 China
| | - Bo‐Geng Li
- State Key Laboratory of Chemical Engineering College of Chemical and Biological Engineering Zhejiang University Hangzhou 310027 China
| | - Hong Fan
- State Key Laboratory of Chemical Engineering College of Chemical and Biological Engineering Zhejiang University Hangzhou 310027 China
| |
Collapse
|
16
|
Marien YW, Edeleva M, Figueira FL, Arraez FJ, Van Steenberge PHM, D'hooge DR. Translating Simulated Chain Length and Molar Mass Distributions in Chain‐Growth Polymerization for Experimental Comparison and Mechanistic Insight. MACROMOL THEOR SIMUL 2021. [DOI: 10.1002/mats.202100008] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/13/2023]
Affiliation(s)
- Yoshi W. Marien
- Laboratory for Chemical Technology (LCT) Ghent University Technologiepark 125 Gent B‐9052 Belgium
| | - Mariya Edeleva
- Laboratory for Chemical Technology (LCT) Ghent University Technologiepark 125 Gent B‐9052 Belgium
| | - Freddy L. Figueira
- Laboratory for Chemical Technology (LCT) Ghent University Technologiepark 125 Gent B‐9052 Belgium
| | - Francisco J. Arraez
- Laboratory for Chemical Technology (LCT) Ghent University Technologiepark 125 Gent B‐9052 Belgium
| | | | - Dagmar R. D'hooge
- Laboratory for Chemical Technology (LCT) Ghent University Technologiepark 125 Gent B‐9052 Belgium
- Centre for Textile Science and Engineering Ghent University Technologiepark 70a Gent B‐9052 Belgium
| |
Collapse
|
17
|
Nasresfahani A, Heidarzadeh N, Bygott EG, Hutchinson RA. Stochastic Modeling of Poly(acrylate) Distributions Obtained by Radical Polymerization under High‐Temperature Semi‐Batch Starved‐Feed Conditions: Investigation of Model Predictions versus Experimental Data. MACROMOL THEOR SIMUL 2021. [DOI: 10.1002/mats.202000093] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Affiliation(s)
- Amin Nasresfahani
- Department of Chemical Engineering Dupuis Hall Queen's University Kingston Ontario K7L 3N6 Canada
| | - Nina Heidarzadeh
- Department of Chemical Engineering Dupuis Hall Queen's University Kingston Ontario K7L 3N6 Canada
| | - Elizabeth G. Bygott
- Department of Chemical Engineering Dupuis Hall Queen's University Kingston Ontario K7L 3N6 Canada
| | - Robin A. Hutchinson
- Department of Chemical Engineering Dupuis Hall Queen's University Kingston Ontario K7L 3N6 Canada
| |
Collapse
|
18
|
Figueira FL, Wu YY, Zhou YN, Luo ZH, Van Steenberge PHM, D'hooge DR. Coupled matrix kinetic Monte Carlo simulations applied for advanced understanding of polymer grafting kinetics. REACT CHEM ENG 2021. [DOI: 10.1039/d0re00407c] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
An innovative coupled matrix-based Monte Carlo (CMMC) concept has been applied to successfully assess the detailed description of the molecular build-up of linear and non-linear chains in the free-radical induced grafting of linear precursors chains.
Collapse
Affiliation(s)
| | - Yi-Yang Wu
- Department of Chemical Engineering
- School of Chemistry and Chemical Engineering
- State Key Laboratory of Metal Matrix Composites
- Shanghai Jiao Tong University
- Shanghai 200240
| | - Yin-Ning Zhou
- Department of Chemical Engineering
- School of Chemistry and Chemical Engineering
- State Key Laboratory of Metal Matrix Composites
- Shanghai Jiao Tong University
- Shanghai 200240
| | - Zheng-Hong Luo
- Department of Chemical Engineering
- School of Chemistry and Chemical Engineering
- State Key Laboratory of Metal Matrix Composites
- Shanghai Jiao Tong University
- Shanghai 200240
| | | | - Dagmar R. D'hooge
- Laboratory for Chemical Technology (LCT)
- Ghent University
- Belgium
- Centre for Textile Science and Engineering (CTSE)
- Ghent University
| |
Collapse
|
19
|
De Smit K, Marien YW, Edeleva M, Van Steenberge PH, D’hooge DR. Roadmap for Monomer Conversion and Chain Length-Dependent Termination Reactivity Algorithms in Kinetic Monte Carlo Modeling of Bulk Radical Polymerization. Ind Eng Chem Res 2020. [DOI: 10.1021/acs.iecr.0c04328] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/06/2023]
Affiliation(s)
- Kyann De Smit
- Laboratory for Chemical Technology (LCT), Ghent University, Technologiepark 125, 9052 Ghent, Belgium
| | - Yoshi W. Marien
- Laboratory for Chemical Technology (LCT), Ghent University, Technologiepark 125, 9052 Ghent, Belgium
| | - Mariya Edeleva
- Laboratory for Chemical Technology (LCT), Ghent University, Technologiepark 125, 9052 Ghent, Belgium
| | - Paul H.M. Van Steenberge
- Laboratory for Chemical Technology (LCT), Ghent University, Technologiepark 125, 9052 Ghent, Belgium
| | - Dagmar R. D’hooge
- Laboratory for Chemical Technology (LCT), Ghent University, Technologiepark 125, 9052 Ghent, Belgium
- Centre for Textile Science and Engineering (CTSE), Ghent University, Technologiepark 70A, 9052 Ghent, Belgium
| |
Collapse
|
20
|
Wang TT, Wu YY, Luo ZH, Zhou YN. “Living” Polymer Dispersity Quantification for Nitroxide-Mediated Polymerization Systems by Mimicking a Monodispersed Polymer Blending Strategy. Macromolecules 2020. [DOI: 10.1021/acs.macromol.0c02029] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Affiliation(s)
- Tian-Tian Wang
- Department of Chemical Engineering, School of Chemistry and Chemical Engineering, State Key Laboratory of Metal Matrix Composites, Shanghai Jiao Tong University, Shanghai 200240, P. R. China
| | - Yi-Yang Wu
- Department of Chemical Engineering, School of Chemistry and Chemical Engineering, State Key Laboratory of Metal Matrix Composites, Shanghai Jiao Tong University, Shanghai 200240, P. R. China
| | - Zheng-Hong Luo
- Department of Chemical Engineering, School of Chemistry and Chemical Engineering, State Key Laboratory of Metal Matrix Composites, Shanghai Jiao Tong University, Shanghai 200240, P. R. China
| | - Yin-Ning Zhou
- Department of Chemical Engineering, School of Chemistry and Chemical Engineering, State Key Laboratory of Metal Matrix Composites, Shanghai Jiao Tong University, Shanghai 200240, P. R. China
| |
Collapse
|
21
|
De Keer L, Figueira FL, Marien YW, De Smit K, Edeleva M, Van Steenberge PH, D'hooge DR. Benchmarking Stochastic and Deterministic Kinetic Modeling of Bulk and Solution Radical Polymerization Processes by Including Six Types of Factors Two. MACROMOL THEOR SIMUL 2020. [DOI: 10.1002/mats.202000065] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Affiliation(s)
- Lies De Keer
- Laboratory for Chemical Technology (LCT) Ghent University Technologiepark 125 Gent B‐9052 Belgium
| | - Freddy L. Figueira
- Laboratory for Chemical Technology (LCT) Ghent University Technologiepark 125 Gent B‐9052 Belgium
| | - Yoshi W. Marien
- Laboratory for Chemical Technology (LCT) Ghent University Technologiepark 125 Gent B‐9052 Belgium
| | - Kyann De Smit
- Laboratory for Chemical Technology (LCT) Ghent University Technologiepark 125 Gent B‐9052 Belgium
| | - Mariya Edeleva
- Laboratory for Chemical Technology (LCT) Ghent University Technologiepark 125 Gent B‐9052 Belgium
| | - Paul H.M. Van Steenberge
- Laboratory for Chemical Technology (LCT) Ghent University Technologiepark 125 Gent B‐9052 Belgium
| | - Dagmar R. D'hooge
- Laboratory for Chemical Technology (LCT) Ghent University Technologiepark 125 Gent B‐9052 Belgium
- Centre for Textile Science and Engineering Ghent University Technologiepark 70a Gent B‐9052 Belgium
| |
Collapse
|
22
|
Trigilio AD, Marien YW, Van Steenberge PHM, D’hooge DR. Gillespie-Driven kinetic Monte Carlo Algorithms to Model Events for Bulk or Solution (Bio)Chemical Systems Containing Elemental and Distributed Species. Ind Eng Chem Res 2020. [DOI: 10.1021/acs.iecr.0c03888] [Citation(s) in RCA: 30] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Affiliation(s)
- Alessandro D. Trigilio
- Laboratory for Chemical Technology, Ghent University, Technologiepark 125, 9052 Gent, Belgium
| | - Yoshi W. Marien
- Laboratory for Chemical Technology, Ghent University, Technologiepark 125, 9052 Gent, Belgium
| | | | - Dagmar R. D’hooge
- Laboratory for Chemical Technology, Ghent University, Technologiepark 125, 9052 Gent, Belgium
- Centre for Textile Science and Engineering, Ghent University, Technologiepark 70a, 9052 Gent, Belgium
| |
Collapse
|