Unraveling the magnetic properties of NiO nanoparticles: From synthesis to nanostructure

Author

Moya Álvarez, Carlos

Ara Escario, Jorge

Labarta, Amílcar

Batlle Gelabert, Xavier

Publication date

2025-07-10T09:00:36Z

2025-07-10T09:00:36Z

2024-08-28

2025-07-10T09:00:36Z



Abstract

NiO nanoparticles have garnered significant interest due to their diverse applications and unique properties, which differ markedly from their bulk counterparts. NiO nanoparticles are p-type semiconductors with a wide bandgap, high discharge capacity, and high carrier density, making them ideal for use in batteries, sensors, and catalysts. Their ability to generate reactive oxygen species also imparts disinfectant and antibiotic properties. Additionally, the higher Néel temperature of NiO compared to other antiferromagnetic materials makes it suitable for high-temperature applications in spintronic devices and industrial settings. This review focuses on the critical role of structure and composition in determining the magnetic properties of NiO nanoparticles. It examines how finite-size surface effects, morphology, crystallinity, and nickel distribution influence these properties. Fundamental physical properties and characterization techniques are discussed first. Various synthesis methods and their impact on NiO nanoparticle properties are then explored. Their magnetic phenomenology is examined in detail, highlighting the effects of finite size, particle composition and surface, and crystal quality. The review concludes with a summary of key insights and future research directions for optimizing NiO nanoparticles in technological applications.

Document Type

Article
Published version

Language

English

Subjects and keywords

Nanopartícules; Materials magnètics; Nanoparticles; Magnetic materials

Publisher

MDPI

Related items

Reproducció del document publicat a: https://doi.org/https://doi.org/10.3390/magnetism4030017

Magnetism, 2024, vol. 4, num.3, p. 252-280

https://doi.org/https://doi.org/10.3390/magnetism4030017

Rights

cc-by (c) Carlos Moya et al., 2024

http://creativecommons.org/licenses/by/4.0/