Bridging scales: machine learning for the rational design and modelling of shape memory polymers

Cheng Yan, Giulia Scalet

Open source

DOI: 10.1039/d5sm00980d
Published: 2026
Container: Soft Matter
Publisher: Royal Society of Chemistry (RSC)
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1039/d5sm00980d,
  title = {Bridging scales: machine learning for the rational design and modelling of shape memory polymers},
  author = {Cheng Yan and Giulia Scalet},
  year = {2026},
  journal = {Soft Matter},
  doi = {10.1039/d5sm00980d},
  url = {https://doi.org/10.1039/d5sm00980d}
}

RIS

TY  - JOUR
TI  - Bridging scales: machine learning for the rational design and modelling of shape memory polymers
AU  - Cheng Yan
AU  - Giulia Scalet
PY  - 2026
JO  - Soft Matter
DO  - 10.1039/d5sm00980d
UR  - https://doi.org/10.1039/d5sm00980d
ER  -

APA

Yan, C., & Scalet, G. (2026). Bridging scales: machine learning for the rational design and modelling of shape memory polymers. Soft Matter. https://doi.org/10.1039/d5sm00980d

Source records

crossref · retrieved 2026-09-24T18:51:16.188Z