# Reprogrammable shape memory ion gels                    <i>via</i>                    physical entanglement of ultrahigh molecular weight polymers

https://mdr.nims.go.jp/datasets/69e78ea8-673c-4f8f-8062-fed937583697

## File

- [d5mh01902h.pdf](https://mdr.nims.go.jp/filesets/f7f19a3e-280d-44cf-a393-0c66db6353c8/download) ([Detail](https://mdr.nims.go.jp/filesets/f7f19a3e-280d-44cf-a393-0c66db6353c8.md))

## Id

69e78ea8-673c-4f8f-8062-fed937583697

## Local identifier



## Visibility

open_to_public

## State

published

## Created at

2026-05-13T09:50:07.722139Z

## Updated at

2026-05-13T09:54:14.059146Z

## Published at

2026-05-14T05:26:36.576169Z

## Doi



## First published url

https://doi.org/10.1039/d5mh01902h

## Date published

2026-04-14

## Recorded date published

2026-5-12

## Resource type

journal_article

## Manuscript type

vor

## Collection



## Title

- title: |-
    Reprogrammable shape memory ion gels
                        <i>via</i>
                        physical entanglement of ultrahigh molecular weight polymers
  title_type: original
  lang: en

## Description

- description: In this study, we develop shape memory ion gels comprising ultrahigh
    molecular weight (UHMW) polymers and ionic liquids (ILs), synthesised via a facile
    one-pot radical polymerisation method of vinyl monomers in the IL medium. The
    resulting ion gels exhibit a high glass transition temperature (Tg) above room
    temperature and a broad rubbery plateau, attributed to the abundant physical entanglements
    of the UHMW polymers in the IL medium. Dynamic mechanical analysis confirms their
    excellent shape-memory performance, including triple shape-memory behaviour. By
    leveraging the nonvolatility of IL, the ion gels can be recycled through thermal
    remoulding with minimal degradation in their mechanical properties. Furthermore,
    they retain their shape-memory performance over multiple deformation cycles with
    negligible residual strain, in contrast to their counterparts containing lower
    molecular weight polymers, which suffer from chain pullout and incomplete recovery.
    Notably, this study demonstrates that densely entangled polymer networks can enable
    shape reprogramming, highlighting physical entanglements as a robust and dynamic
    cross-linking motif. Moreover, the Tg can be finely tuned by adjusting the polymer/IL
    composition or by selecting different IL structures, offering a versatile strategy
    for designing high-performance shape memory materials.
  description_type: abstract
  lang: und

## Creator

- name: Ryota Tamate
  role: author
  orcid: https://orcid.org/0000-0002-1704-1058
- name: Koichiro Uto
  role: author
  orcid: https://orcid.org/0000-0001-7091-0585
- name: Yuji Kamiyama
  role: author
  orcid: https://orcid.org/0000-0001-9483-2112
- name: Takeshi Ueki
  role: author
  orcid: https://orcid.org/0000-0001-9317-6280

## Contact agent



## Publisher

organization: Royal Society of Chemistry (RSC)

## Managing organization



## Keyword

- subject: イオンゲル
  schema: not_defined
- subject: 超高分子量
  schema: not_defined
- subject: 形状記憶
  schema: not_defined
- subject: 絡み合い
  schema: not_defined
- subject: イオン液体
  schema: not_defined

## Rights

- identifier: https://creativecommons.org/licenses/by/3.0/

## Other identifier(s)



## Data origin



## Embargo



## Journal

- title: Materials Horizons
  issn: '20516347'
  volume: '13'
  issue: '9'
  start_page: 4371
  end_page: 4383

## Conference



## Related item



## Funding

- identifier: 23H02030
  funder_name: Japan Society for the Promotion of Science
- identifier: 23K26409
  funder_name: Japan Society for the Promotion of Science
- identifier: JPMJPR2196
  funder_name: Precursory Research for Embryonic Science and Technology
- identifier: JPMJFR2327
  funder_name: Japan Science and Technology Corporation

## Instrument



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## Measurement method



## Specimen



## Chemical composition



## Structure for specimen



## Structural feature for specimen



## Specific property for specimen



## Process for specimen treatment



## Computational method



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## Fileset

- id: f7f19a3e-280d-44cf-a393-0c66db6353c8
  filename: d5mh01902h.pdf
  content_type: application/pdf
  size: 6397192
  md5: 19612362bee3d20353cc7ba6e95f082e

## Thumbnail

fileset_id: f7f19a3e-280d-44cf-a393-0c66db6353c8
filename: d5mh01902h.pdf