File Download

There are no files associated with this item.

  • Find it @ UNIST can give you direct access to the published full text of this article. (UNISTARs only)
Related Researcher

김철민

Ghim, Cheol-Min
Physical Biology Biological Physics Lab.
Read More

Views & Downloads

Detailed Information

Cited time in webofscience Cited time in scopus
Metadata Downloads

Intelligent Soft Matter: Towards Embodied Intelligence

Author(s)
Baulin, Vladimir A.Ghim, Cheol-MinHanczyc, Martin M.
Issued Date
2025-06
DOI
10.1039/D5SM00174A
URI
https://scholarworks.unist.ac.kr/handle/201301/87059
Citation
SOFT MATTER, v.21, no.21, pp.4129 - 4145
Abstract
Intelligent soft matter lies at the intersection of materials science, physics, and cognitive science, promising to change how we design and interact with materials. This transformative field aims to create materials with life-like capabilities, such as perception, learning, memory, and adaptive behavior. Unlike traditional materials, which typically perform static or predefined functions, intelligent soft matter can dynamically interact with its environment, integrating multiple sensory inputs, retaining past experiences, and making decisions to optimize its responses. Inspired by biological systems, these materials leverage the inherent properties of soft matter such as flexibility, adaptability, and responsiveness to perform functions that mimic cognitive processes. By synthesizing current research trends and projecting their evolution, we present a forward-looking perspective on how intelligent soft matter could be constructed, with the aim of inspiring innovations in areas such as biomedical devices, adaptive robotics, and beyond. We highlight new pathways for integrating sensing, memory and actuation with low-power internal operations, and we discuss key challenges in realizing materials that exhibit truly “intelligent behavior”. These approaches outline a path toward more robust, versatile, and scalable materials that can potentially act, compute, and “think” through their inherent intrinsic material properties—moving beyond traditional smart technologies that rely on external control.
Publisher
Royal Society of Chemistry
ISSN
1744-683X
Keyword
COLLOIDSBRAINCOGNITIONNETWORKROBOTDNA

qrcode

Items in Repository are protected by copyright, with all rights reserved, unless otherwise indicated.