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Related Experiment Video

Updated: Feb 6, 2026

Fragmenting Bulk Hydrogels and Processing into Granular Hydrogels for Biomedical Applications
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Shape Memorable and Self-Healable Smart Hydrogels and Emerging Directions.

Neha Bisht1,2, Reuben J Yeo3, Seeram Ramakrishna4

  • 1CSIR-Advanced Materials and Processes Research Institute, Bhopal, India.

Advanced Healthcare Materials
|February 5, 2026
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Summary

Intelligent shape memory hydrogels (SMHs) offer advanced sensing and self-healing capabilities. This review explores their mechanisms, applications, and the integration of AI/ML for future innovations.

Keywords:
AI/MLself‐healingshape memory hydrogelssmart materials

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Area of Science:

  • Materials Science
  • Polymer Chemistry
  • Intelligent Materials

Background:

  • Hydrogels are versatile materials used in various applications.
  • Intelligent hydrogels are being developed to sense, respond to, and adapt to stimuli.
  • Shape memory hydrogels (SMHs) combine shape memory and self-healing properties.

Purpose of the Study:

  • To comprehensively review the mechanisms, properties, and applications of SMHs.
  • To explore the integration of Artificial Intelligence (AI) and Machine Learning (ML) in SMH systems.
  • To identify current challenges and future prospects for SMH development.

Main Methods:

  • Literature review of existing research on shape memory hydrogels.
  • Analysis of SMH mechanisms, including stimuli-responsiveness and self-healing.
  • Exploration of AI/ML integration within SMH systems.

Main Results:

  • SMHs exhibit remarkable shape memory and self-healing properties, responding to stimuli like temperature, light, and pH.
  • AI and ML show potential benefits for enhancing SMH performance and enabling new opportunities.
  • Diverse applications of SMHs in sensing, soft robotics, energy storage, and biomedicine are highlighted.

Conclusions:

  • SMHs represent a significant advancement in intelligent materials with broad application potential.
  • The integration of AI/ML offers promising avenues for future SMH development.
  • Addressing current challenges is crucial for unlocking the full potential of SMHs.