Intelligent soft matter: towards embodied intelligence

Vladimir A. Baulin*, Achille Giacometti, Dmitry A. Fedosov, Stephen Ebbens, Nydia R. Varela-Rosales, Neus Feliu, Mithun Chowdhury, Minghan Hu, Rudolf Fuechslin, Marjolein Dijkstra, Matan Mussel, Rene van Roij, Dong Xie, Vassil Tzanov, Mengjie Zu, Samuel Hidalgo-Caballero, Ye Yuan, Luca Cocconi, Cheol-Min Ghim, Cecile Cottin-BizonneM. Carmen Miguel, Maria Jose Esplandiu, Juliane Simmchen, Wolfgang J. Parak, Marco Werner, Gerhard Gompper, Martin M. Hanczyc

*Corresponding author for this work

Research output: Contribution to journalReview articlepeer-review

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.
Original languageEnglish
Pages (from-to)4129-4145
Number of pages17
JournalSoft Matter
Volume21
Issue number21
Early online date6 May 2025
DOIs
Publication statusPublished - 7 Jun 2025

Bibliographical note

Publisher Copyright:
© 2025 The Royal Society of Chemistry.

Funding

The work is the result of the SoftComp Topical workshop on Intelligent Soft Matter, Salou 2025 (https://softmat.net/intelligent-soft-matter/) financed by SoftComp Network of Excellence (https://eu-softcomp.net/). Various AI tools were used for preparation of the manuscript: language models Google Gemini 2.0 series and Discovery Engine (https://explore-the-unknown.vercel.app) for literature processing, structuring contributions, finding concept overlaps and summarizing according to procedure explained in https://github.com/vbaulin/IntelliDE/.

FundersFunder number
SoftComp Network of Excellence

    Keywords

    • Brain
    • Cognition
    • Colloids
    • Dna
    • Network
    • Robot

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