Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Ferromagnetism

Ferromagnetism

Materials like iron, nickel, and cobalt consist of magnetic domains, within which the magnetic dipoles are arranged parallel to each other. The magnetic dipoles are rigidly aligned in the same direction within a domain by quantum mechanical coupling among the atoms. This coupling is so strong that even thermal agitation at room temperature cannot break it. The result is that each domain has a net dipole moment. However, some materials have weaker coupling, and are ferromagnetic at lower...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

Bioinspired milliscale near-boundary undulatory motion for fluid transport and adhesive locomotion.

Science advances·2026

Same author

Fish-diversity-inspired multiple soft millirobot system with morphology-encoded selective control.

Science advances·2026

Same author

Genetically engineered human cell-based microrobots for selective cancer cell death.

Science advances·2026

Same author

Wireless electrostimulation implants enable sphincter neuromuscular improvement toward mixed urinary incontinence.

Nature communications·2026

Same author

Microrobotic copper-rich electrochemical interfacing for targeted cancer theranostics in the gut.

Science advances·2026

Same author

Synthetic X‑ray‑driven tracking and control of miniature medical devices.

Nature machine intelligence·2026

Same journal

The BRCA1-A complex restricts replication fork reversal-dependent DNA repair in ATM deficient cells.

Nature communications·2026

Same journal

Signaling downstream of tumor-stroma interaction regulates mucinous colorectal adenocarcinoma apicobasal polarity.

Nature communications·2026

Same journal

Click-polymerized polyenamine membranes for efficient lithium extraction.

Nature communications·2026

Same journal

Joint trajectories of brain atrophy, white matter hyperintensities and cognition quantify brain maintenance.

Nature communications·2026

Same journal

Proton shuttling at electrochemical interfaces under alkaline hydrogen evolution.

Nature communications·2026

Same journal

metilene<sup>3</sup>: identifying DMRs across multiple conditions with auto-classification.

Nature communications·2026

See all related articles

Search research articles

Related Experiment Video

Updated: May 20, 2025

An Additive Manufacturing Technique for the Facile and Rapid Fabrication of Hydrogel-based Micromachines with Magnetically Responsive Components

An Additive Manufacturing Technique for the Facile and Rapid Fabrication of Hydrogel-based Micromachines with Magnetically Responsive Components

Published on: July 18, 2018

Data-driven design of shape-programmable magnetic soft materials.

Alp C Karacakol^1,2, Yunus Alapan^3,4,5, Sinan O Demir^1,6

¹Physical Intelligence Department, Max Planck Institute for Intelligent Systems, Stuttgart, Germany.

Nature Communications

|March 27, 2025

Summary

This summary is machine-generated.

Researchers developed a data-driven method to design magnetic soft materials for advanced shape morphing. This approach optimizes material properties and morphology for enhanced robotic behaviors like jumping and traversing.

More Related Videos

Optimizing Magnetic Force Microscopy Resolution and Sensitivity to Visualize Nanoscale Magnetic Domains

Optimizing Magnetic Force Microscopy Resolution and Sensitivity to Visualize Nanoscale Magnetic Domains

Published on: July 20, 2022

Four-Dimensional Printing of Stimuli-Responsive Hydrogel-Based Soft Robots

Four-Dimensional Printing of Stimuli-Responsive Hydrogel-Based Soft Robots

Published on: January 13, 2023

Related Experiment Videos

Last Updated: May 20, 2025

An Additive Manufacturing Technique for the Facile and Rapid Fabrication of Hydrogel-based Micromachines with Magnetically Responsive Components

An Additive Manufacturing Technique for the Facile and Rapid Fabrication of Hydrogel-based Micromachines with Magnetically Responsive Components

Published on: July 18, 2018

Optimizing Magnetic Force Microscopy Resolution and Sensitivity to Visualize Nanoscale Magnetic Domains

Optimizing Magnetic Force Microscopy Resolution and Sensitivity to Visualize Nanoscale Magnetic Domains

Published on: July 20, 2022

Four-Dimensional Printing of Stimuli-Responsive Hydrogel-Based Soft Robots

Four-Dimensional Printing of Stimuli-Responsive Hydrogel-Based Soft Robots

Published on: January 13, 2023

Area of Science:

Materials Science
Robotics
Computational Design

Background:

Magnetically responsive soft materials offer versatile shape morphing for soft robots and biointerfaces.
High-resolution encoding of magnetic and material properties creates a vast design space but suffers from intrinsic coupling, hindering trial-and-error design.
Efficient design exploration is crucial for realizing the potential of these advanced materials.

Purpose of the Study:

To introduce a data-driven strategy for optimizing the design of magnetic soft materials.
To overcome the limitations of trial-and-error design by combining predictive modeling with efficient simulations.
To enable the creation of materials with desired shape-morphing and robotic behaviors.

Main Methods:

Utilized a predictive neural network to guide stochastic design alterations.
Employed cost-efficient simulations to optimize the distributed magnetization profile and morphology.
Focused on exploring the design space for magnetic soft materials with tailored properties.

Main Results:

Uncovered non-intuitive 2D designs capable of complex 2D/3D shape morphing.
Optimized morphological behaviors, including maximizing rotation and minimizing volume.
Demonstrated enhanced jumping performance and showcased fabrication- and scale-agnostic 3D multi-material structures for robotic tasks.

Conclusions:

The generic, data-driven framework enables efficient exploration of the design space for stimuli-responsive soft materials.
This approach provides functional shape morphing and behavior for next-generation soft robots and devices.
The methodology facilitates the development of advanced soft materials with predictable and controllable properties.