Harnessing autocatalytic reactions in polymerization and depolymerization

Rajeev Kumar; Zening Liu; Brad Lokitz; Jihua Chen; Jan Michael Carrillo; Jacek Jakowski; C. Patrick Collier; Scott Retterer; Rigoberto Advincula

doi:10.1557/s43579-021-00061-9

Harnessing autocatalytic reactions in polymerization and depolymerization

Rajeev Kumar, Zening Liu, Brad Lokitz, Jihua Chen, Jan Michael Carrillo, Jacek Jakowski, C. Patrick Collier, Scott Retterer, Rigoberto Advincula

Research output: Contribution to journal › Article › peer-review

7 Scopus citations

Abstract

Abstract: Autocatalysis and its relevance to various polymeric systems are discussed by taking inspiration from biology. A number of research directions related to synthesis, characterization, and multi-scale modeling are discussed in order to harness autocatalytic reactions in a useful manner for different applications ranging from chemical upcycling of polymers (depolymerization and reconstruction after depolymerization), self-generating micelles and vesicles, and polymer membranes. Overall, a concerted effort involving in situ experiments, multi-scale modeling, and machine learning algorithms is proposed to understand the mechanisms of physical and chemical autocatalysis. It is argued that a control of the autocatalytic behavior in polymeric systems can revolutionize areas such as kinetic control of the self-assembly of polymeric materials, synthesis of self-healing and self-immolative polymers, as next generation of materials for a sustainable circular economy. Graphic Abstract: [Figure not available: see fulltext.]

Original language	English
Pages (from-to)	377-390
Number of pages	14
Journal	MRS Communications
Volume	11
Issue number	4
DOIs	https://doi.org/10.1557/s43579-021-00061-9
State	Published - Aug 2021

Funding

This manuscript has been authored by UT-Battelle, LLC, under contract DE-AC05-00OR22725 with the US Department of Energy (DOE). The US government retains and the publisher, by accepting the article for publication, acknowledges that the US government retains a non-exclusive, paid-up, irrevocable, worldwide license to publish or reproduce the published form of this manuscript, or allow others to do so, for US government purposes. DOE will provide public access to these results of federally sponsored research in accordance with the DOE Public Access Plan ( http://energy.gov/downloads/doe-public-access-plan ) This research was conducted at the Center for Nanophase Materials Sciences, which is a DOE Office of Science User Facility.

Funders	Funder number
U.S. Department of Energy
Office of Science

Keywords

Amorphous
Autonomous
Biomimetic (chemical reaction)
Circular economy
Degradable
Diffusion
Membrane
Multi-scale
Non-linear effects
Polymer
Recycling
Simulation

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10.1557/s43579-021-00061-9

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title = "Harnessing autocatalytic reactions in polymerization and depolymerization",

abstract = "Abstract: Autocatalysis and its relevance to various polymeric systems are discussed by taking inspiration from biology. A number of research directions related to synthesis, characterization, and multi-scale modeling are discussed in order to harness autocatalytic reactions in a useful manner for different applications ranging from chemical upcycling of polymers (depolymerization and reconstruction after depolymerization), self-generating micelles and vesicles, and polymer membranes. Overall, a concerted effort involving in situ experiments, multi-scale modeling, and machine learning algorithms is proposed to understand the mechanisms of physical and chemical autocatalysis. It is argued that a control of the autocatalytic behavior in polymeric systems can revolutionize areas such as kinetic control of the self-assembly of polymeric materials, synthesis of self-healing and self-immolative polymers, as next generation of materials for a sustainable circular economy. Graphic Abstract: [Figure not available: see fulltext.]",

keywords = "Amorphous, Autonomous, Biomimetic (chemical reaction), Circular economy, Degradable, Diffusion, Membrane, Multi-scale, Non-linear effects, Polymer, Recycling, Simulation",

author = "Rajeev Kumar and Zening Liu and Brad Lokitz and Jihua Chen and Carrillo, {Jan Michael} and Jacek Jakowski and Collier, {C. Patrick} and Scott Retterer and Rigoberto Advincula",

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year = "2021",

month = aug,

doi = "10.1557/s43579-021-00061-9",

language = "English",

volume = "11",

pages = "377--390",

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T1 - Harnessing autocatalytic reactions in polymerization and depolymerization

AU - Kumar, Rajeev

AU - Liu, Zening

AU - Lokitz, Brad

AU - Chen, Jihua

AU - Carrillo, Jan Michael

AU - Jakowski, Jacek

AU - Collier, C. Patrick

AU - Retterer, Scott

AU - Advincula, Rigoberto

PY - 2021/8

Y1 - 2021/8

N2 - Abstract: Autocatalysis and its relevance to various polymeric systems are discussed by taking inspiration from biology. A number of research directions related to synthesis, characterization, and multi-scale modeling are discussed in order to harness autocatalytic reactions in a useful manner for different applications ranging from chemical upcycling of polymers (depolymerization and reconstruction after depolymerization), self-generating micelles and vesicles, and polymer membranes. Overall, a concerted effort involving in situ experiments, multi-scale modeling, and machine learning algorithms is proposed to understand the mechanisms of physical and chemical autocatalysis. It is argued that a control of the autocatalytic behavior in polymeric systems can revolutionize areas such as kinetic control of the self-assembly of polymeric materials, synthesis of self-healing and self-immolative polymers, as next generation of materials for a sustainable circular economy. Graphic Abstract: [Figure not available: see fulltext.]

AB - Abstract: Autocatalysis and its relevance to various polymeric systems are discussed by taking inspiration from biology. A number of research directions related to synthesis, characterization, and multi-scale modeling are discussed in order to harness autocatalytic reactions in a useful manner for different applications ranging from chemical upcycling of polymers (depolymerization and reconstruction after depolymerization), self-generating micelles and vesicles, and polymer membranes. Overall, a concerted effort involving in situ experiments, multi-scale modeling, and machine learning algorithms is proposed to understand the mechanisms of physical and chemical autocatalysis. It is argued that a control of the autocatalytic behavior in polymeric systems can revolutionize areas such as kinetic control of the self-assembly of polymeric materials, synthesis of self-healing and self-immolative polymers, as next generation of materials for a sustainable circular economy. Graphic Abstract: [Figure not available: see fulltext.]

KW - Amorphous

KW - Autonomous

KW - Biomimetic (chemical reaction)

KW - Circular economy

KW - Degradable

KW - Diffusion

KW - Membrane

KW - Multi-scale

KW - Non-linear effects

KW - Polymer

KW - Recycling

KW - Simulation

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DO - 10.1557/s43579-021-00061-9

M3 - Article

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VL - 11

SP - 377

EP - 390

JO - MRS Communications

JF - MRS Communications

IS - 4

ER -

Harnessing autocatalytic reactions in polymerization and depolymerization

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