Pulse‐Gated Ternary Ferromagnetic Encoding for Reprogrammable Soft Micromachines

Abstract Ferromagnetic soft micromachines utilize programmable magnetization profiles for adaptive interactions and multitasking in complex environments. While recent advances in reprogrammable encoding techniques have increased design flexibility beyond static setups, most existing methods rely on slow, energy‐intensive reorientation processes that require additional stimuli, such as heating, which are limited by shallow penetration depths. Meanwhile, dynamic control over magnetization strength is still largely unexplored. To overcome these challenges, a ternary magnetization encoding scheme is introduced with three states: positive, negative, and neutralized. These states can be switched in pairs using pulsed magnetic fields. The scheme employs composite elements created by combining two ferromagnetic components with different coercive fields at adjustable ratios. Through precise partial remagnetization, fast, energy‐efficient, and fully magnetic‐field‐controlled reprogramming of the magnetization profiles is enabled. This strategy paves the way for developing intelligent soft micromachines with embedded actuation, logic operations, and information storage capabilities.

Authors

Institutions

Publication Details

Journal
Advanced Functional Materials
Published
2025-11-10
DOI
https://doi.org/10.1002/adfm.202523537
Primary Topic
Advanced Materials and Mechanics
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Pulse‐Gated Ternary Ferromagnetic Encoding for Reprogrammable Soft Micromachines

Tian‐Yun Huang, Mingyang Wang, Song Shi, Yiyang Tang et al.
Advanced Functional Materials
Advanced Materials and Mechanics
article

Pulse‐Gated Ternary Ferromagnetic Encoding for Reprogrammable Soft Micromachines

Tian‐Yun Huang, Mingyang Wang, Song Shi, Yiyang Tang, Huayang Sai, Yiqiang Wu, Haiqing Wei
article en

Abstract

Abstract Ferromagnetic soft micromachines utilize programmable magnetization profiles for adaptive interactions and multitasking in complex environments. While recent advances in reprogrammable encoding techniques have increased design flexibility beyond static setups, most existing methods rely on slow, energy‐intensive reorientation processes that require additional stimuli, such as heating, which are limited by shallow penetration depths. Meanwhile, dynamic control over magnetization strength is still largely unexplored. To overcome these challenges, a ternary magnetization encoding scheme is introduced with three states: positive, negative, and neutralized. These states can be switched in pairs using pulsed magnetic fields. The scheme employs composite elements created by combining two ferromagnetic components with different coercive fields at adjustable ratios. Through precise partial remagnetization, fast, energy‐efficient, and fully magnetic‐field‐controlled reprogramming of the magnetization profiles is enabled. This strategy paves the way for developing intelligent soft micromachines with embedded actuation, logic operations, and information storage capabilities.

Advanced Functional MaterialsVol. 36(24)
Beijing Normal University (CN), Robotics Research (United States) (US)
Peking University First Hospital, National Natural Science Foundation of China, Peking University, Peking University Third Hospital, National Key Research and Development Program of China, Fundamental Research Funds for the Central Universities
Openalex Percentile: Top 65%
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.