Evidence map›Paper›PMID 41901862›Full record

ArticlePolymers2026

AI-Assisted Design of Chemically Recyclable Polymers for Food Packaging.

Brandon K Phan, Chiho Kim, Janhavi Nistane, Wei Xiong, Haoyu Chen, Woo Jin Jang, Farzad Gholami, Yongliang Su, Jerry Qi, Ryan Lively and 2 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Polymers, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Brandon K PhanSchool of Materials Science and Engineering, Georgia Institute of Technology, Atlanta, GA 30332, USA.
Chiho KimSchool of Materials Science and Engineering, Georgia Institute of Technology, Atlanta, GA 30332, USA.
Janhavi NistaneSchool of Materials Science and Engineering, Georgia Institute of Technology, Atlanta, GA 30332, USA.
Wei XiongSchool of Materials Science and Engineering, Georgia Institute of Technology, Atlanta, GA 30332, USA.
Haoyu ChenSchool of Chemical and Biomolecular Engineering, Georgia Institute of Technology, Atlanta, GA 30332, USA.
Woo Jin JangSchool of Chemical and Biomolecular Engineering, Georgia Institute of Technology, Atlanta, GA 30332, USA.ORCID 0009-0000-4303-0275
Farzad GholamiSchool of Materials Science and Engineering, Georgia Institute of Technology, Atlanta, GA 30332, USA.ORCID 0009-0002-9205-3929
Yongliang SuSchool of Chemical and Biomolecular Engineering, Georgia Institute of Technology, Atlanta, GA 30332, USA.
Jerry QiSchool of Materials Science and Engineering, Georgia Institute of Technology, Atlanta, GA 30332, USA.
Ryan LivelySchool of Chemical and Biomolecular Engineering, Georgia Institute of Technology, Atlanta, GA 30332, USA.ORCID 0000-0002-8039-4008
Will GutekunstSchool of Chemical and Biomolecular Engineering, Georgia Institute of Technology, Atlanta, GA 30332, USA.
Rampi RamprasadSchool of Materials Science and Engineering, Georgia Institute of Technology, Atlanta, GA 30332, USA.ORCID 0000-0003-4630-1565

Funding

NSF 2515411Office of Naval Research N00014-20-1-2586
6 · The paper itself

Abstract

Polymer packaging plays a crucial role in food preservation but poses major challenges in recycling and environmental persistence. To address the need for sustainable, high-performance alternatives, we employed a polymer informatics workflow to identify single- and multi-layer drop-in replacements for polymer-based packaging materials. Machine learning (ML) models, trained on carefully curated polymer datasets, predicted eight key properties across a library of approximately 7.4 million ring-opening polymerization (ROP) polymers generated by virtual forward synthesis (VFS). Candidates were prioritized by the enthalpy of polymerization, a critical metric for chemical recyclability. This screening yielded thousands of promising candidates, demonstrating the feasibility of replacing diverse packaging architectures. We then experimentally validated poly(

Indexed as

chemical recyclabilitypolymer informaticssustainable packaging

Identifiers

PMID41901862
PMCPMC13030112

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.