Colossal Magnetoelectric Effect in Core-Shell Magnetoelectric Nanoparticles

Ping Wang; Elric Zhang; Dennis Toledo; Isadora Takako Smith; Brayan Navarrete; Nathaniel Furman; Alexandro Franco Hernandez; Mackenson Telusma; Dwayne McDaniel; Ping Liang; Sakhrat Khizroev

doi:10.1021/acs.nanolett.0c01588

Colossal Magnetoelectric Effect in Core-Shell Magnetoelectric Nanoparticles

Nano Lett. 2020 Aug 12;20(8):5765-5772. doi: 10.1021/acs.nanolett.0c01588. Epub 2020 Jul 14.

Authors

Affiliations

¹ Department of Electrical and Computer Engineering, University of Miami, Coral Gables, Florida 33146, United States.
² Department of Electrical and Computer Engineering, Florida International University, Miami, Florida 33174, United States.
³ Department of Mechanical and Materials Engineering, Florida International University, Miami, Florida 33174, United States.
⁴ Cellular Nanomed, Irvine, California 92697, United States.

PMID: 32639738
DOI: 10.1021/acs.nanolett.0c01588

Abstract

Magnetoelectric coefficient values of above 5 and 2 V cm^-1 Oe^-1 in 20 nm CoFe₂O₄-BaTiO₃ and NiFe₂O₄-BaTiO₃ core-shell magnetoelectric nanoparticles were demonstrated. These colossal values, compared to 0.1 V cm^-1 Oe^-1 commonly reported for the 0-3 system, are attributed to (i) the heterostructural lattice-matched interface between the magnetostrictive core and the piezoelectric shell, confirmed through transmission electron microscopy, and (ii) in situ scanning tunneling microscopy nanoprobe-based ME characterization. The nanoprobe technique allows measurements of the ME effect at a single-nanoparticle level which avoids the charge leakage problem of traditional powder form measurements. The difference in the frequency dependence of the ME value between the two material systems is owed to the Ni-ferrite cores becoming superparamagnetic in the near-dc frequency range. The availability of novel nanostructures with colossal ME values promises to unlock many new applications ranging from energy-efficient information processing to nanomedicine and brain-machine interfaces.

Keywords: Artificial Intelligence; Brain−Machine Interface; CoFe2O4−BaTiO3; Colossal Magnetoelectric Effect; Core−Shell Magnetoelectric Nanostructures; NiFe2O4−BaTiO3.