| Zugriffsnummer | 56019 |
| Dokumenttyp | Zeitschriftenartikel |
| Peer Review | mit Peer Review |
| Sprache | Englisch |
| Titel | A predictive design framework for optimizing CoFe2O4@BaTiO3 magnetoelectric nanoparticles for noninvasive brain stimulation |
| Autor(in); Institution |
Kim, G.; Department of AI Convergence, College of Information and Computing, Gwangju Institute of Science and Technology, Gwangju, REPUBLIC OF KOREA
Cao, T.-L.; Department of AI Convergence, College of Information and Computing, Gwangju Institute of Science and Technology, Gwangju, REPUBLIC OF KOREA
Yoon, J.; Department of AI Convergence, College of Information and Computing, Gwangju Institute of Science and Technology, Gwangju, REPUBLIC OF KOREA
|
| Quelle/Jahr | Materials and Design: 265 (2026), 1 - 19 |
| Artikelnummer | 115957 |
| Availability | [online only] |
| ISSN | 0264-1275 (online) |
| DOI | |
| Verlag | Amsterdam [u.a.]: Elsevier BV |
| Freie Schlagworte | Magnetoelectric nanoparticles ; Deep brain stimulations ; Multiphysics simulations ; Magnetoelectric coefficients ; CoFe2O4@ BaTiO3 nanostructures ; Magnetostrictive–piezoelectric couplings ; Magnetic field–driven neuromodulations |
| Zusammenfassung | Magnetoelectric nanoparticles (MENs) are emerging as promising candidates for wireless and minimally invasive deep brain stimulation, yet rational design strategies to maximize their magnetoelectric (ME) efficiency remain elusive. Here, we present a comprehensive computational study of a single MEN with spherical core@shell geometry (CoFe2O4@BaTiO3) in cerebrospinal fluid to identify the fundamental principles governing its ME coefficient (αME). Unlike prior approaches treating parameters in isolation, we systematically vary geometry, external fields, and material properties to reveal their complex coupled effects. Specifically, our simulations identify a size-independent optimal core-to-MEN diameter (core–MEN) ratio of 0.869, where the dynamic modulation of magnetostrictive strain and piezoelectric transduction are simultaneously maximized. Furthermore, we demonstrate that the ME response is not maximized by arbitrarily increasing the DC magnetic field (BDC) or saturation magnetization (Ms), but rather by tuning them to optimal ranges determined by the core’s intrinsic magnetic properties. For example, in our reference model (magnetization reversibility of 0.5, domain wall density of 150 kA/m, and Ms of 400 kA/m), αME peaks at BDC ~ 120 mT when MEN diameter was set 30 nm. Moreover, our analysis highlights that increasing magnetic reversibility and saturation magnetostriction offers a direct pathway to further boost the ME response. Collectively, these results establish a predictive design framework that integrates geometry, field protocols, and intrinsic material tuning, providing actionable guidelines for synthesizing high-performance MENs for noninvasive neuromodulation. |
| Kostenfreier Zugang | Open Access Gold |
| Rechteinformation | CC BY 4.0 ; Creative Commons Attribution 4.0 License |
| Themenbereich der Metrologie | Metrologie in der Medizin |
| Förderinformationen (1) |
Förderername: National Research Foundation (NRF) of Korea
Förderungsnummer: RS-2025- 00554248 ; 2019-0- 01842 |
| Förderinformationen (2) | Förderername: AI Graduate School Support Project |
| Förderinformationen (3) | Förderername: Ministry of Science and ICT, South Korea |