Light‐Controlled Magnetic Properties: An Energy‐Efficient Opto‐Mechanical Control over Magnetic Films by Liquid Crystalline Networks

Magnetostrictive materials are essential components in sensors, actuators, and energy-storage devices due to their ability to convert mechanical stress into changes in magnetic properties and vice-versa. However, their operation typically requires physical contact to apply stress or relies on magnetic field sources to control magnetic properties. This poses significant limitations to devices miniaturization and their integration into contactless technologies. This work reports on an approach that overcomes these limitations by using light to transfer mechanical stress to a magnetostrictive device, thereby achieving non-contact and reversible opto-mechanical control of its magnetic and electrical properties. The proposed solution combines a magnetostrictive Fe<sub>70</sub>Ga<sub>30</sub> thin film with a photo-responsive Liquid Crystalline Network (LCN). Magnetic properties are modulated by changing the light wavelength and illumination time. Remarkably, the stable shape change of the LCN induced by ultraviolet (UV) light leads to the retention of magnetic properties even after the light is switched off, resulting in a magnetic memory effect with an energy consumption advantage over the use of conventional magnetic field applicators. The memory effect is erased by visible light, which releases the mechanical stress in the photoresponsive layer. Therefore, this new composite material creates a fully reconfigurable magnetic system controlled by light.

Authors

Institutions

Publication Details

Journal
Advanced Science
Published
2024-10-07
DOI
https://doi.org/10.1002/advs.202408273
Citations
4
Primary Topic
Advanced Materials and Mechanics
Type
article
Field-Weighted Citation Impact
0.85

Funders

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

Light‐Controlled Magnetic Properties: An Energy‐Efficient Opto‐Mechanical Control over Magnetic Films by Liquid Crystalline Networks

Marco Coïsson, Diederik Sybolt Wiersma, Gabriele Barrera, Daniele Martella et al.
4 citations
Advanced Science
Advanced Materials and Mechanics
0.85
article

Light‐Controlled Magnetic Properties: An Energy‐Efficient Opto‐Mechanical Control over Magnetic Films by Liquid Crystalline Networks

Marco Coïsson, Diederik Sybolt Wiersma, Gabriele Barrera, Daniele Martella, Neri Fuochi, Federica Celegato, Camilla Parmeggiani, Paola Tiberto
article en
4 citations

Abstract

Magnetostrictive materials are essential components in sensors, actuators, and energy-storage devices due to their ability to convert mechanical stress into changes in magnetic properties and vice-versa. However, their operation typically requires physical contact to apply stress or relies on magnetic field sources to control magnetic properties. This poses significant limitations to devices miniaturization and their integration into contactless technologies. This work reports on an approach that overcomes these limitations by using light to transfer mechanical stress to a magnetostrictive device, thereby achieving non-contact and reversible opto-mechanical control of its magnetic and electrical properties. The proposed solution combines a magnetostrictive Fe<sub>70</sub>Ga<sub>30</sub> thin film with a photo-responsive Liquid Crystalline Network (LCN). Magnetic properties are modulated by changing the light wavelength and illumination time. Remarkably, the stable shape change of the LCN induced by ultraviolet (UV) light leads to the retention of magnetic properties even after the light is switched off, resulting in a magnetic memory effect with an energy consumption advantage over the use of conventional magnetic field applicators. The memory effect is erased by visible light, which releases the mechanical stress in the photoresponsive layer. Therefore, this new composite material creates a fully reconfigurable magnetic system controlled by light.

Advanced ScienceVol. 11(47)
Nello Carrara Institute of Applied Physics (IT), Istituto Nazionale di Ricerca Metrologica (IT), University of Florence (IT)
Dipartimenti di Eccellenza, European Commission, Università degli Studi di Firenze, Ministero dell'Università e della Ricerca
Affordable and clean energy
Openalex Percentile: Top 30%
Advanced Materials and Mechanics
0.85
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.