Shape memory polymer review for flexible artificial intelligence materials of biomedical

Bankole I. Oladapo (Lead / Corresponding author), Joseph F. Kayode, John O. Akinyoola, Omolayo M. Ikumapayi

Research output: Contribution to journalArticlepeer-review

29 Citations (Scopus)
11 Downloads (Pure)

Abstract

The self-healing and biocompatibility of polymer composites for biomedicine have made them a preferred approach for small-scale tissue engineering elements. By moving from static to dynamic pressure, 4D printing simulates the natural physical-mechanical changes of living tissue over time. A promising new platform with excellent controllability actuation is required to enhance the significance of 4D printing for biological applications. This study systematically analyses current 4D printing technologies for the flexible fabrication of artificial intelligence (AIM) materials. In addition, many potential applications of flexible 4D printing in composite biological engineering are thoroughly investigated. We found that knowledge about this new category of flexible AIM composites is relatively limited, and the potential for practical applications has not yet been demonstrated. Finally, we discuss the problems and limitations of flexible 4D printing technology, AIM, and future approaches and applications.

Original languageEnglish
Article number126930
Number of pages12
JournalMaterials Chemistry and Physics
Volume293
Early online date20 Oct 2022
DOIs
Publication statusPublished - 1 Jan 2023

Keywords

  • Biomedical composite
  • Flexible AIM
  • Micro-AIMs
  • Shape memory polymer

ASJC Scopus subject areas

  • General Materials Science
  • Condensed Matter Physics

Fingerprint

Dive into the research topics of 'Shape memory polymer review for flexible artificial intelligence materials of biomedical'. Together they form a unique fingerprint.

Cite this