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RESEARCH PAPER · Polymers · 2019

Intelligent Machine Learning: Tailor-Making Macromolecules

Yousef Mohammadi, Mohammad Reza Saeb, Alexander Penlidis, Esmaiel Jabbari, Florian J. Stadler, Philippe Zinck, Krzysztof Aleksander Matyjaszewski

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Intelligent Machine Learning: Tailor-Making MacromoleculesOriginalDesign of polymeric materials: Experiences and prescriptions8Machine Learning-Based Detection of Graphene Defects with Atomic Precision36Machine Learning Predictions of Block Copolymer Self‐Assembly59Automation and data-driven design of polymer therapeutics104Coupled matrix kinetic Monte Carlo simulations applied for advanced understanding of polymer grafting kinetics54Translating Simulated Chain Length and Molar Mass Distributions in Chain‐Growth Polymerization for Experimental Comparison and Mechanistic Insight27Toward Olefin Multiblock Copolymers with Tailored Properties: A Molecular Perspective6Exploiting (Multicomponent) Semibatch and Jacket Temperature Procedures to Safely Tune Molecular Properties for Solution Free Radical Polymerization of n‐Butyl Acrylate11Playing construction with the monomer toy box for the synthesis of multi‐stimuli responsive copolymers by reversible deactivation radical polymerization protocols10A Machine Learning Method for Material Property Prediction: Example Polymer Compatibility1Precision polymer synthesis by controlled radical polymerization: Fusing the progress from polymer chemistry and reaction engineering167Machine-learning exploration of polymer compatibility39Clickable polysaccharides for biomedical applications: A comprehensive review57Perspectives on Polyolefin Catalysis in Microfluidics for High-Throughput Screening: A Minireview7Prediction of Plasticizer Property Based on an Improved Genetic Algorithm3Macromolecules: Contemporary Futurist Thoughts on Progressive Journey16Molecular Weight Distribution of Branched Polymers: Comparison between Monte Carlo Simulation and Flory-Stockmayer Theory10Polymer reaction engineering meets explainable machine learning30Coordinative Chain Transfer and Chain Shuttling Polymerization73Advances, Synergy, and Perspectives of Machine Learning and Biobased Polymers for Energy, Fuels, and Biochemicals for a Sustainable Future69Exploring bimodal HDPE synthesis using single- and dual-site metallocene catalysts: a comprehensive review of the Monte Carlo method and AI-based approaches3Reverse Engineering of Radical Polymerizations by Multi-Objective Optimization7Update of the Journal “Aims & Scope”0Reverse engineering of vinyl acetate polymerizations bygenetic algorithm-based multi-objective optimization1Tailor-Made Polysaccharides for Biomedical Applications65AI-Based Forecasting of Polymer Properties for High-Temperature Butyl Acrylate Polymerizations11Machine Learning Approaches in Polymer Science: Progress and Fundamental for a New Paradigm86Data‐driven deep learning prediction of full molecular weight distribution in polymerization processes8Machine learning supported evolutionary optimization for multi-objective reverse engineering of radical polymerizations8Machine learning in polymer science: A new lens for physical and chemical exploration35Rapid training of neural networks as accelerated, differentiable surrogates of kinetic Monte Carlo polymerization models1Adding machine learning to the polymer reaction engineering toolbox13Machine learning-assisted free radical polymerization for tailor-made copolymer synthesis0

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  2. Machine Learning-Based Detection of Graphene Defects with Atomic Precision

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  3. Machine Learning Predictions of Block Copolymer Self‐Assembly

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  4. Automation and data-driven design of polymer therapeutics

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  5. Coupled matrix kinetic Monte Carlo simulations applied for advanced understanding of polymer grafting kinetics

    Reaction Chemistry & Engineering · 2020-12-10

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  6. Translating Simulated Chain Length and Molar Mass Distributions in Chain‐Growth Polymerization for Experimental Comparison and Mechanistic Insight

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  7. Toward Olefin Multiblock Copolymers with Tailored Properties: A Molecular Perspective

    Macromolecular Theory and Simulations · 2021-04-13

    Yousef Mohammadi, Mohammad Reza Saeb, Alexander Penlidis, Esmaiel Jabbari, Florian J. Stadler, Philippe Zinck, Eduardo Vivaldo‐Lima

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  8. Exploiting (Multicomponent) Semibatch and Jacket Temperature Procedures to Safely Tune Molecular Properties for Solution Free Radical Polymerization of n‐Butyl Acrylate

    Macromolecular Theory and Simulations · 2021-06-14

    Mariya Edeleva, Yoshi W. Marien, Dagmar D’hooge, Paul H. M. Van Steenberge

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  9. Playing construction with the monomer toy box for the synthesis of multi‐stimuli responsive copolymers by reversible deactivation radical polymerization protocols

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  10. A Machine Learning Method for Material Property Prediction: Example Polymer Compatibility

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  11. Precision polymer synthesis by controlled radical polymerization: Fusing the progress from polymer chemistry and reaction engineering

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  12. Machine-learning exploration of polymer compatibility

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  13. Clickable polysaccharides for biomedical applications: A comprehensive review

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    Mohsen Khodadadi Yazdi, S. Mohammad Sajadi, Farzad Seidi, Navid Rabiee, Yousef Fatahi, Mohammad Rabiee, Midhun Dominic C. D., Payam Zarrintaj, Krzysztof Formela, Mohammad Reza Saeb, Sidi A. Bencherif

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  14. Perspectives on Polyolefin Catalysis in Microfluidics for High-Throughput Screening: A Minireview

    Energy & Fuels · 2022-10-04

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  15. Prediction of Plasticizer Property Based on an Improved Genetic Algorithm

    Polymers · 2022-10-12

    Yuyin Zhang, Ningjie Deng, Shiding Zhang, Pingping Liu, Changjing Chen, Ziheng Cui, Biqiang Chen, Tianwei Tan

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  16. Macromolecules: Contemporary Futurist Thoughts on Progressive Journey

    Eng—Advances in Engineering · 2023-02-22

    Tomy Muringayil Joseph, Mohamed Sayed Hasanin, Aparna Beena Unni, Debarshi Kar Mahapatra, Józef Tadeusz Haponiuk, Sabu Thomas

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  17. Molecular Weight Distribution of Branched Polymers: Comparison between Monte Carlo Simulation and Flory-Stockmayer Theory

    Polymers · 2023-04-04

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  18. Polymer reaction engineering meets explainable machine learning

    Computers & Chemical Engineering · 2023-07-17

    Jeļena Fiošina, Philipp Sievers, Marco Drache, Sabine Beuermann

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  19. Coordinative Chain Transfer and Chain Shuttling Polymerization

    Chemical Reviews · 2023-12-12

    Robert Mundil, Catarina Bravo, Nicolas Merle, Philippe Zinck

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  20. Advances, Synergy, and Perspectives of Machine Learning and Biobased Polymers for Energy, Fuels, and Biochemicals for a Sustainable Future

    Energy & Fuels · 2024-01-16

    Abu Danish Aiman Bin Abu Sofian, Xun Sun, Vijai Kumar Gupta, Aydin Berenjian, Ao Xia, Zengling Ma, Pau Loke Show

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  21. Exploring bimodal HDPE synthesis using single- and dual-site metallocene catalysts: a comprehensive review of the Monte Carlo method and AI-based approaches

    Journal of Polymer Research · 2024-02-24

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  22. Reverse Engineering of Radical Polymerizations by Multi-Objective Optimization

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    Jeļena Fiošina, Philipp Sievers, Gavaskar Kanagaraj, Marco Drache, Sabine Beuermann

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  23. Update of the Journal “Aims & Scope”

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  24. Reverse engineering of vinyl acetate polymerizations bygenetic algorithm-based multi-objective optimization

    ChemRxiv · 2024-06-02

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  25. Tailor-Made Polysaccharides for Biomedical Applications

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    Mohsen Khodadadi Yazdi, Farzad Seidi, Aleksander Hejna, Payam Zarrintaj, Navid Rabiee, Justyna Kucińska‐Lipka, Mohammad Reza Saeb, Sidi A. Bencherif

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  26. AI-Based Forecasting of Polymer Properties for High-Temperature Butyl Acrylate Polymerizations

    ACS Polymers Au · 2024-07-26

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  27. Machine Learning Approaches in Polymer Science: Progress and Fundamental for a New Paradigm

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  28. Data‐driven deep learning prediction of full molecular weight distribution in polymerization processes

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