Simulation of Heat Transfer in Multilayer Structure

Authors

DOI:

https://doi.org/10.30526/39.2.4271

Keywords:

Thermal Gradient, Multilayer Thin Films, Spin current, Ultrafast laser, Heat-assisted magnetic recording, COMSOL Multi physics

Abstract

Hard disk drives (HDDs) and recent data storage technologies are anticipated to play a transformative part in the development of information technology. Heat-assisted magnetic recording and its applications are one of the most significant technologies in this field, offering a pathway to noticeably higher storage densities. The thermal gradient in the tetralayer thin-film structure was generated by utilizing pulses of a femtosecond laser to produce a spin current. the tetralayer is made of an Al₂O₃- Py (Ni81Fe19)- MgO- Copper - YIG (Y₃Fe₅O₁₂)- and Gd₃Ga₅O₁₂ layers. To model the heat transfer and thermal gradients within this structure, COMSOL Multiphysics® software is used to conduct a detailed three-dimensional (3D) thermal simulation. Parameters such as thickness and time were shown to have a major effect on the generated spin current. In addition to that, the temperature gradients within the tetralayer are crucial indication for generating the spin current.  The findings reveal that using MgO in the adjacent metallic layers did not provide sufficient thermal gradient, which is required to generate the spin current.

Keywords: Thermal Gradient, Multilayer Thin Films, Spin current, Ultrafast laser, Heat-assisted magnetic recording, COMSOL Multi physics.

Author Biographies

  • Saffa Issam Mohamad Ali, Department of Physics, College of Science, University of Mustansiriyah, Baghdad, Iraq

     

    -

  • Haidar J. Mohamad, Department of Physics, College of Science, University of Mustansiriyah, Baghdad, Iraq

    -

  • Mohammed Jassim Mohammed Ali, Department of Physics, College of Science, University of Mustansiriyah, Baghdad, Iraq

    -

References

1. Yakout SM. Spintronics: Future technology for new data storage and communication devices. J Supercond Nov Magn. 2020;33:2557–2580.https://doi.org/10.1007/s10948-020-05545-8

2. Ozatay O, Mather PG, Thiele JU, Hauet T, Braganca PM. Spin-based data storage. In: Andrews DL, Scholes GD, Wiederrecht GP, editors. Compr Nanosci Technol. Amsterdam: Academic Press; 2011. p. 561–614.

3. Guo L, Gu X, Zhu X, Sun X. Recent advances in molecular spintronics: Multifunctional spintronic devices. Adv Mater. 2019;31(45):1805355.https://doi.org/10.1002/adma.201805355

4. Hirohata A, Takanashi K. Future perspectives for spintronic devices. J Phys D Appl Phys. 2014;47(19):193001.https://doi.org/10.1088/0022-3727/47/19/193001

5. Bhatti S, Sbiaa R, Hirohata A, Ohno H, Fukami S, Piramanayagam SN. Spintronics based random access memory: A review. Mater Today. 2017;20(9):530–548.

https://doi.org/10.1016/j.mattod.2017.07.007

6. Fabian J, Matos-Abiague A, Ertler C, Stano P, Žutić I. Semiconductor spintronics. arXiv. 2007:0711.1461.https://doi.org/10.48550/arXiv.0711.1461

7. Hu Y, Wu H, Meng Y, Bogy DB. Nanoscale thermal analysis for heat-assisted magnetic recording. J Appl Phys. 2017;122(13).https://doi.org/10.1063/1.4996749

8. Kief M, Victora RH. Materials for heat-assisted magnetic recording. MRS Bull. 2018;43(2):87–92.https://doi.org/10.1557/mrs.2018.2

9. Wang X, Gao K, Zhou H, Itagi A, Seigler M, Gage E. HAMR recording limitations and extendibility. IEEE Trans Magn. 2013;49(2):686–692.

https://doi.org/10.1109/TMAG.2012.2221689

10. Weller D, Parker G, Mosendz O, Champion E, Stipe B, Wang X. HAMR media technology roadmap to an areal density of 4 Tbit/in². IEEE Trans Magn. 2014;50:3100108.

https://doi.org/10.1109/TMAG.2013.2281027

11. Rea C, Holfeld J, Kalarickal S, Benakli M, Sam A, Olson H. HAMR performance and integration challenges. IEEE Trans Magn. 2014;50(3):62–66.

https://doi.org/10.1109/TMAG.2013.2287886

12. Chen Y, Victora RH. Effectiveness of a pulsed laser in heat-assisted magnetic recording. Sci Rep. 2023;13:11479.https://doi.org/10.1038/s41598-023-38398-x

13. Hurst J, Hervieux PA, Manfredi G. Spin current generation by ultrafast laser pulses in ferromagnetic nickel films. Phys Rev B. 2018;97(1):014424.

https://doi.org/10.1103/PhysRevB.97.014424

14. Mohamad HJ, Hamza BH. Thermal simulation for ultrafast laser in multilayered samples for HAMR applications. Baghdad Sci J. 2025;22(6):1930–1939.https://doi.org/10.21123/2411-7986.4967

15. Mirkoohi E, Seivers DE, Garmestani H, Liang SY. Heat source modeling in selective laser melting. Materials (Basel). 2019;12(13):2052.https://doi.org/10.3390/ma12132052

16. Wang Y, Liu J, Wang C, Fan X, Liu Z, Huang X. Time-dependent heat conduction under ultrashort pulse laser. Front Phys. 2024;12:1416064.https://doi.org/10.3389/fphy.2024.1416064

17. Kunadian I. Numerical investigation of thermal transport mechanisms during ultrafast laser heating of nanofilms using 3-D DPL model. In: Proc HT-FED 2004; 2004.

https://doi.org/10.1115/HT-FED2004-56823

18. Shayduk R, Gaal P. Transition regime in ultrafast laser heating of solids. J Appl Phys. 2020;127(7).https://doi.org/10.1063/1.5143717

19. Savriama G, Semmar N. Numerical simulation of laser processing materials. Model Simul Eng. 2016;8.https://doi.org/10.5772/63945

20. Mustafa H, Matthews D, Römer G. Pulse duration influence on laser-induced material removal. J Laser Appl. 2020;32(2).https://doi.org/10.2351/1.5119995

21. Que R, Lancry M, Poumellec B. Analytical expressions for temperature distribution induced by ultrafast laser pulses. Micromachines (Basel). 2024;15(2):196.

https://doi.org/10.3390/mi15020196

22. COMSOL Multiphysics. COMSOL Multiphysics Ref Man. Grenoble: COMSOL; 2023.

23. Abdul-Hussain MA, Mohamad HJ. Thermal effect in 3-D simulation of multilayer thin films by ultrafast laser. Al-Mustansiriyah J Sci. 2021;32(4):104–109.

https://doi.org/10.23851/mjs.v32i4.1039

24. Hofmeister AM. Thermal diffusivity of garnets at high temperature. Phys Chem Miner. 2006;33(1):45–62.https://doi.org/10.1007/s00269-005-0056-8

25. Liu W, Yang Y, Asheghi M. Thermal and electrical characterization of thin copper layers. In: Proc ITHERM. IEEE; 2006.https://doi.org/10.1109/ITHERM.2006.1645477

26. Slifka AJ, Filla BJ, Phelps J. Thermal conductivity of magnesium oxide. J Res Natl Inst Stand Technol. 1998;103(4):357–363.https://doi.org/10.6028/jres.103.021

27. Avery A, Mason S, Bassett D, Wesenberg D, Zink B. Thermal and electrical conductivity of metal thin films. Phys Rev B. 2015;92(21):214410.https://doi.org/10.1103/PhysRevB.92.214410

28. Bai SY, Tang ZA, Huang ZX, Yang J, Wang JQ. Thermal conductivity of Al₂O₃ thin films. Chin Phys Lett. 2008;25(2):593–595.https://doi.org/10.1088/0256-307X/25/2/065

29. Goto T, Onbasli MC, Ross CA. Magneto-optical properties of cerium-substituted yttrium iron garnet films. Opt Express. 2012;20(27):28507–28517.https://doi.org/10.1364/OE.20.028507

30. Neuber G, Rauer R, Kunze J, Korn T, Pels C, Meier G. Temperature-dependent spectral generalized magneto-optical ellipsometry. Appl Phys Lett. 2003;83(22):4509–4511.

31. Abdul-Hussain MA. Ultrafast laser simulation for multilayer thin film. MSc Thesis. Mustansiriyah Univ; 2021.

Downloads

Published

20-Apr-2026

Issue

Section

Physics

How to Cite

[1]
Mohamad Ali, S.I. et al. 2026. Simulation of Heat Transfer in Multilayer Structure. Ibn AL-Haitham Journal For Pure and Applied Sciences. 39, 2 (Apr. 2026), 99–107. DOI:https://doi.org/10.30526/39.2.4271.