Efficient Calculation of Low Energy Configurations of Nanoparticle Ensembles for Magnetoresistive Sensor Devices by Means of Stochastic Spin Dynamicsand Monte Carlo Methods |
| L. Teicha, C. Schröder a, C. Müller b, A. Patel b, J. Meyer c and A. Hütten c
aBielefeld Institute for Applied Materials Research, University of Applied Sciences Bielefeld, Wilhelm-Bertelsmann-Str. 10, 33602 Bielefeld, Germany bDepartment of Engineering Sciences and Mathematics, University of Applied Sciences Bielefeld, Wilhelm-Bertelsmann-Str. 10, 33602 Bielefeld, Germany cDepartment of Physics, Bielefeld University, Universitätsstr. 25, 33615 Bielefeld, Germany |
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| We present results of Monte Carlo and stochastic spin dynamics simulations of a magnetic nanoparticle model system based on experimentally produced samples. Thermodynamic investigations as well as spin dynamics studies show characteristic features, both resembling magnetic dipole glass behaviour. While spin dynamics studies at T=0 yield a multitude of low energy configurations, thermodynamic simulations show a clear transition between a paramagnetic and a frozen magnetic state. Moreover, we demonstrate the application of experimentally inspired demagnetization protocols to compute low energy configurations of the systems under consideration efficiently. |
DOI: 10.12693/APhysPolA.127.374 PACS numbers: 75.40.Mg, 75.75.Jn, 75.78.-n |