High-throughput computational analysis of kinetic barriers to ring-closing depolymerization for aliphatic polycarbonates

Abstract The chemical reversion of polymers via ring-closing depolymerization (RCD) to their monomeric constituents is a highly promising avenue to enable end-of-life recycling and reuse. However, most reported systems using RCD revolve around bespoke monomer designs to facilitate facile depolymerization, and there exists relatively few investigations into the influence of functional groups on the ability of a particular monomer to cleanly undergo depolymerization. Here, we perform computational investigations into the energy barriers for RCD of 6-membered aliphatic carbonates in different solvents. The results corroborate trends observed in prior experimental studies, validating the utility of computational investigations towards understanding RCD. Experimental evaluation of the thermal depolymerization in two of the studied polycarbonates confirmed their ability to undergo RCD. Overall, this work highlights the advantage of high-throughput energy barrier computations to provide meaningful insight into broad reactivity trends that would be highly laborious to access experimentally.

Authors

Institutions

Publication Details

Journal
npj Computational Materials
Published
2025-09-24
DOI
https://doi.org/10.1038/s41524-025-01736-w
Primary Topic
biodegradable polymer synthesis and properties
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

High-throughput computational analysis of kinetic barriers to ring-closing depolymerization for aliphatic polycarbonates

Brandi Ransom, Nathaniel H. Park, Dmitry Yu. Zubarev, Riccardo Bosio et al.
npj Computational Materials
biodegradable polymer synthesis and properties
article

High-throughput computational analysis of kinetic barriers to ring-closing depolymerization for aliphatic polycarbonates

Brandi Ransom, Nathaniel H. Park, Dmitry Yu. Zubarev, Riccardo Bosio, James L. Hedrick
article en

Abstract

Abstract The chemical reversion of polymers via ring-closing depolymerization (RCD) to their monomeric constituents is a highly promising avenue to enable end-of-life recycling and reuse. However, most reported systems using RCD revolve around bespoke monomer designs to facilitate facile depolymerization, and there exists relatively few investigations into the influence of functional groups on the ability of a particular monomer to cleanly undergo depolymerization. Here, we perform computational investigations into the energy barriers for RCD of 6-membered aliphatic carbonates in different solvents. The results corroborate trends observed in prior experimental studies, validating the utility of computational investigations towards understanding RCD. Experimental evaluation of the thermal depolymerization in two of the studied polycarbonates confirmed their ability to undergo RCD. Overall, this work highlights the advantage of high-throughput energy barrier computations to provide meaningful insight into broad reactivity trends that would be highly laborious to access experimentally.

npj Computational MaterialsVol. 11(1)
IBM Research - Almaden (US)
Openalex Percentile: Top 83%
biodegradable polymer synthesis and properties
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

High-throughput computational analysis of kinetic barriers to ring-closing depolymerization for aliphatic polycarbonates — Brandi Ransom, Nathaniel H. Park, et al. · npj Computational Materials (2025) | TGRS Research Map | TGRS