Multi‐Scale Modeling of a 3D Soft Magnetoelectric Patch for Wireless Nerve Stimulation

Abstract Magnetoelectric nanoparticles (MENPs) are able to locally generate high electric fields when activated with human‐safe, low‐intensity magnetic fields. However, when implanted as individual or randomly positioned small clusters, the induced electric fields decay very quickly with the distance, hampering effective tissue stimulation. Herein, a novel nano‐structured polymeric‐based MENPs‐loaded 3D system (ME‐Patch) is designed and optimized in terms of its electrical performances through a holistic and multi‐scale in silico framework, which spans from the multi‐physics modeling of the magnetoelectric phenomenon at the nanoscale to a functional assessment of the micrometric ME‐Patch stimulation ability in a realistic model of a human peripheral nerve. This study presents the theoretical applicability of a material‐based recipe for the fabrication of effective soft and biocompatible magnetoelectric devices, able to store and transfer the extremely localized effect of individual MENPs on tissue areas and trigger neuron action potential activation.

Authors

Institutions

Publication Details

Journal
Advanced Materials Interfaces
Published
2025-02-04
DOI
https://doi.org/10.1002/admi.202400471
Citations
3
Primary Topic
Advanced Sensor and Energy Harvesting Materials
Type
article
Field-Weighted Citation Impact
2.02

Funders

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

Multi‐Scale Modeling of a 3D Soft Magnetoelectric Patch for Wireless Nerve Stimulation

Emma Chiaramello, Serena Fiocchi, Giulia Suarato, Marta Parazzini et al.
3 citations
Advanced Materials Interfaces
Advanced Sensor and Energy Harvesting Materials
2.02
article

Multi‐Scale Modeling of a 3D Soft Magnetoelectric Patch for Wireless Nerve Stimulation

Emma Chiaramello, Serena Fiocchi, Giulia Suarato, Marta Parazzini, Alessandra Marrella, Paolo Ravazzani, Anna Tommasini
article en
3 citations

Abstract

Abstract Magnetoelectric nanoparticles (MENPs) are able to locally generate high electric fields when activated with human‐safe, low‐intensity magnetic fields. However, when implanted as individual or randomly positioned small clusters, the induced electric fields decay very quickly with the distance, hampering effective tissue stimulation. Herein, a novel nano‐structured polymeric‐based MENPs‐loaded 3D system (ME‐Patch) is designed and optimized in terms of its electrical performances through a holistic and multi‐scale in silico framework, which spans from the multi‐physics modeling of the magnetoelectric phenomenon at the nanoscale to a functional assessment of the micrometric ME‐Patch stimulation ability in a realistic model of a human peripheral nerve. This study presents the theoretical applicability of a material‐based recipe for the fabrication of effective soft and biocompatible magnetoelectric devices, able to store and transfer the extremely localized effect of individual MENPs on tissue areas and trigger neuron action potential activation.

Advanced Materials InterfacesVol. 12(20)
Institute of Electronics, Computer and Telecommunication Engineering (IT), Politecnico di Milano (IT)
Ministero dell'Università e della Ricerca
Openalex Percentile: Top 16%
Advanced Sensor and Energy Harvesting Materials
2.02
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.