Affiliation:
1. Grupo de Materiales Nanoestructurados y Biomodelación MATBIOM Facultad de Ciencias Básicas Universidad de Medellín Carrera 87 No. 30‐65 Medellín 050026 Colombia
2. Grupo de Instrumentación Científica y Microelectrónica Grupo de Estado Sólido, IF‐FCEN Universidad de Antioquia UdeA calle 70 No. 52‐21 Medellín 050010 Colombia
3. Centro de Investigación en Nanotecnología y Materiales Avanzados CIEN‐UC Facultad de Física Pontificia Universidad Católica de Chile Av. Vicuña Mackenna 4860 Santiago 7820436 Chile
4. Facultad de Ciencias Escuela Superior Politécnica de Chimborazo Km 1 1/2 Panamericana Sur Riobamba EC060155 Ecuador
5. MIGA Millennium Institute (ICN2021_023) Santiago 7820436 Chile
Abstract
AbstractDue to their unique properties, bi‐segmented systems are currently used in several technological applications such as sensing devices, high density magnetic data storage systems, spintronics and microelectromechanical components, among others. In this study, the magnetoresistance and magnetic properties of Ni–Fe bi‐segmented cylindrical nanodots in a broad range of diameters and heights are discussed. The power of the First Principles approach, as considered in the density functional theory formulation, is used to study the structural and magnetic relaxation effects, and atomistic simulations, through the Fast Monte Carlo methodology, are employed to explore the magnetoresistance and magnetic behaviors of these systems. By means of the magnetic hysteresis and magnetoresistance signals, convoluted magnetization reversal schemes are discussed. These effects take place depending on the size of the Ni and Fe components as a result of the interplay among exchange interactions and size and shape effects induced by dipolar interactions. Since size has become an experimental controllable parameter, due to the enriched phenomena, the effects discussed in these bi‐component systems are useful for the design and production of devices for technological applications with relevance beyond the observed in the more restricted single component systems.
Subject
Multidisciplinary,Modeling and Simulation,Numerical Analysis,Statistics and Probability