Adaptive memory of hydrogels with tunable hysteresis

The creation of adaptive memory based on soft matter, similar to the brain, is an attractive and challenging research area. Hysteresis is closely related to adaptive memory because it involves a system's ability to retain and utilize information about its past states or inputs to influence its current and future behavior. To achieve adaptive memory control, it is highly desirable to develop stimuli-responsive hydrogels with a tunable hysteresis in the volume phase transition. Herein, we propose a one-pot synthesis method to develop environmentally adaptive memory by preparing dual-responsive hydrogels (<i>e.g.,</i> poly(<i>N</i>-isopropylacrylamide-<i>co</i>-acrylic acid)-<i>g</i>-methylcellulose). The range of the hysteresis window in temperature-dependent shape morphing can be adjusted from approximately 0 °C to 17.6 °C by changing the pH stimulus. Furthermore, the thermal hysteresis windows adapt to the surrounding temperature autonomously. The P(NIPAm-<i>co</i>-AAc)-<i>g</i>-MC hydrogel can maintain a series of small hysteresis loops, which are suitable for memorizing multiple states. Applications in microvalves, hydrogel patterns and smart windows are successfully demonstrated, leveraging the intrinsic hysteresis behavior of the hydrogels. The memory function can switch between memorizing and forgetting behavior, and the memory window adapts to environmental stimuli autonomously. This work contributes an innovative strategy to the development of adaptive memory based on soft materials, paving the way for more intelligent systems.

Authors

Institutions

Publication Details

Journal
Materials Horizons
Published
2025-09-24
DOI
https://doi.org/10.1039/d5mh01416f
Primary Topic
Advanced Materials and Mechanics
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Adaptive memory of hydrogels with tunable hysteresis

Yuzhang Du, Zichao Wang, Jie Kong, Xue‐Feng Zhu et al.
Materials Horizons
Advanced Materials and Mechanics
article

Adaptive memory of hydrogels with tunable hysteresis

Yuzhang Du, Zichao Wang, Jie Kong, Xue‐Feng Zhu, Xuan Zhang, Yinglai Hou, Mingze Liu, Mingchao Zhang, Xiuchun Yang, Xuehua Zhou
article en

Abstract

The creation of adaptive memory based on soft matter, similar to the brain, is an attractive and challenging research area. Hysteresis is closely related to adaptive memory because it involves a system's ability to retain and utilize information about its past states or inputs to influence its current and future behavior. To achieve adaptive memory control, it is highly desirable to develop stimuli-responsive hydrogels with a tunable hysteresis in the volume phase transition. Herein, we propose a one-pot synthesis method to develop environmentally adaptive memory by preparing dual-responsive hydrogels (<i>e.g.,</i> poly(<i>N</i>-isopropylacrylamide-<i>co</i>-acrylic acid)-<i>g</i>-methylcellulose). The range of the hysteresis window in temperature-dependent shape morphing can be adjusted from approximately 0 °C to 17.6 °C by changing the pH stimulus. Furthermore, the thermal hysteresis windows adapt to the surrounding temperature autonomously. The P(NIPAm-<i>co</i>-AAc)-<i>g</i>-MC hydrogel can maintain a series of small hysteresis loops, which are suitable for memorizing multiple states. Applications in microvalves, hydrogel patterns and smart windows are successfully demonstrated, leveraging the intrinsic hysteresis behavior of the hydrogels. The memory function can switch between memorizing and forgetting behavior, and the memory window adapts to environmental stimuli autonomously. This work contributes an innovative strategy to the development of adaptive memory based on soft materials, paving the way for more intelligent systems.

Materials HorizonsVol. 13(1)
National University of Singapore (SG), Northwestern Polytechnical University (CN)
Openalex Percentile: Top 72%
Advanced Materials and Mechanics
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.