Role of the dipolar interaction on the macroscopic state of magnetic nanoparticle systems: A monte carlo study

Journal of Nanoscience and Nanotechnology

Volumn 10, Issue 4, 2010, Pages 2717-2721

  Baldomir, D ^a   Serantes, D ^a   Pereiro, M ^a   Botana, J ^a   Arias, J E ^a   Masunaga, S H ^a   Rivas, J ^a  

^a UNIVERSITY OF SANTIAGO DE COMPOSTELA   (Spain)

Author keywords

Magnetic dipolar interaction; Magnetic nanoparticles; Monte carlo simulation

Indexed keywords

ARROTT PLOTS; BLOCKING TEMPERATURE; CONCENTRATION OF; DIPOLAR INTERACTION; FIRST-ORDER PHASE TRANSITIONS; MACROSCOPIC STATE; MAGNETIC DIPOLAR INTERACTIONS; MAGNETIC NANOPARTICLES; MAGNETIC PHASE TRANSITIONS; MONTE CARLO SIMULATION; MONTE CARLO STUDY; NEGATIVE SLOPE; PROGRESSIVE DISPLACEMENT; RANDOM ANISOTROPY; RANDOM FIELDS; SAMPLE CONCENTRATION; SUPERPARAMAGNETIC NANOPARTICLES;

COMPUTER SIMULATION; COSMIC RAY DETECTORS; ISOTHERMS; MAGNETIC MATERIALS; MAGNETIC PROPERTIES; NANOMAGNETICS; NANOPARTICLES; PHASE TRANSITIONS; SUPERPARAMAGNETISM;

MONTE CARLO METHODS;

EID: 77954972723     PISSN: 15334880     EISSN: None     Source Type: Journal    
DOI: 10.1166/jnn.2010.1439     Document Type: Conference Paper

References (21)

1. X. Batlle and A. Labarta, J. Phys. D 35, R15 (2002).
2. C. R. Lin, R. K. Chiang, J. S. Wang, and T. W. Sung, J. Appl. Phys. 99, 08N710(2006).
3. W. C. Nunes, L. M. Socolovsky, J. C. Denardin, F. Cebollada, A. L. Brandl, and M. Knobel, Phys. Rev. B 72, 212413 (2005).
4. M. Ulrich, J. García-Otero, J. Rivas, and A. Bunde, Phys. Rev. B 67, 024426 (2003).
5. J. García-Otero, M. Porto, J. Rivas, and A. Bunde, Phys. Rev. Lett. 84, 167 (2000).
6. M. Bandyopadhyay and S. Dattagupta, Phys. Rev. B 74, 214410 (2006).
7. P. Jönsson, M. F. Hansen, and P. Norblad, Phys. Rev. B 61, 1261 (2000).
8. W. Luo, S. R. Nagel, T. F. Rosenbaum, and R. E. Rosensweig, Phys. Rev. Lett. 67, 2721 (1991).
9. A. Arrott, Phys. Rev. 108, 1394 (1957).
10. A. Aharony and E. Pytte, Phys. Rev. Lett. 45, 1583 (1980).
11. J. M. Vargas, W. C. Nunes, L. M. Socolovsky, M. Knobel, and D. Zanchet, Phys. Rev. B 72, 184428 (2005).
12. Ò. Iglesias and A. Labarta, Phys. Rev. B 70, 144401 (2004).
13. 6] with periodic boundary conditions. The reduced density is chosen with value p* = 0.85, start with a very high reduced temperature and decrease slowly until its final value T* = 0.77.
14. M. P. Allen and D. J. Tildesley, Computer Simulation of Liquids, Clarendon Press, Oxford (1987).
15. K. Binder and D. W. Heermann, Monte Carlo Simulations in Statistical Physics, Springer Series in Solid State Science, 2nd edn., Springer, Berlin (1992), Vol. 80.
16. By varying the aperture angle δθ, i.e., the maximal jump angle, it is possible to modify the rate of acceptance to optimize the simulation. As a compromise between simulations at low and high temperatures we choose δθ = 0.075 for all simulations.
17. For example for the magnetite particles of 5 nm diameter of Ref. [8] this rate is equivalent to a change of 1 Oe every 10 MC steps.
18. 3, the largest applied field corresponds to approximately 10 KOe.
19. D. Zhang, K. J. Klabunde, C. M. Sorensen, and G. C. Hadjipanayis, Phys. Rev. B 58, 14167 (1998).
20. T. K. Nath and A. K. Majumdar, J. Appl. Phys. 70, 5828 (1991).
21. Z. Zhan, Z. Hua, D. Wuang, C. Zhang, B. Gu, and Y. Du, J. Magn. Magn. Mater. 302, 109 (2006).