Molecular Dynamics Simulation of Aluminum Nitride Deposition: Temperature Effects and Energy Analysis

Authors

  • Christian Idogho Department of Material Science, University of Vermont, Burlington, Vermont, USA Author
  • Godstime Obiajulu Okocha Department of Physics with Electronics, Auchi Polytechnic, Auchi, Nigeria Author

DOI:

https://doi.org/10.54536/ajmp.v1i1.6595

Keywords:

Aluminum Nitride (Aln), Atom Retention, Crystalline Structure, Energy Evolution, Molecular Dynamics (Md), Surface Interactions, Temperature Effects, Thin Film Deposition

Abstract

This study employs classical molecular dynamics (MD) simulations to investigate the temperature-dependent behavior of aluminum nitride (AlN) thin-film deposition on a crystalline AlN substrate. Using the LAMMPS simulation package and a Tersoff potential, 4000 atoms (Al:N = 1:1) were alternately injected toward the substrate at varying temperatures ranging from 1000 K to 2000 K, with each atom possessing ~0.17 eV of kinetic energy. The simulation system comprises 10,800 atoms in the substrate, divided into fixed, thermostatted, and free regions to mimic realistic energy dissipation during deposition. Atom retention, structural ordering, and energy evolution were closely monitored throughout a 10,000 ps deposition period.Results show a strong correlation between temperature and atom incorporation efficiency. Lower temperatures promoted high retention but resulted in limited surface diffusion and poor crystallinity. Intermediate temperatures (1400 K–1600 K) yielded the highest quality bilayer growth due to a balance between adatom mobility and surface bonding. Higher temperatures led to atom desorption and structural disorder. Energy analysis revealed periodic fluctuations in potential and kinetic energy consistent with deposition events and thermal relaxation.This work identifies the optimal thermal window for AlN film growth and demonstrates the utility of MD in capturing the atomistic mechanisms governing epitaxial deposition. The insights contribute to a deeper understanding of growth kinetics and guide experimental optimization of deposition conditions for high-performance AlN-based devices.

Downloads

Download data is not yet available.

Author Biography

  • Godstime Obiajulu Okocha, Department of Physics with Electronics, Auchi Polytechnic, Auchi, Nigeria

    Dr. Godstime Obiajulu Okocha, and a Professor (Associate) in the Department of Physics

    and Electronics at Auchi Polytechnic, Nigeria. My research expertise includes numerical analysis,

    molecular dynamics simulations, density functional theory (DFT), and computational modeling

    of materials and electronic structures. I have published peer-reviewed research articles and remain

    actively engaged in computational materials research, which qualifies me to objectively evaluate

    the originality and impact of scientific contributions in this domain.

References

Rönnby, K., Pedersen, H., & Ojamäe, L. (2023). Surface chemical mechanisms of trimethyl aluminum in atomic layer deposition of AlN. Journal of Materials Chemistry C, 11, 13935–13945. https://doi.org/10.1039/D3TC02328A

Abid, I., & Faisal, M.-Y. (2018). Reactive sputtering of aluminum nitride (002) thin films for piezoelectric applications: A review. Sensors, 18(6), Article 1797. https://doi.org/10.3390/s18061797

Kolaklieva, L., Dimitrov, D., Angelov, O., & Tzonev, S. (2019). Pulsed laser deposition of aluminum nitride films: Correlation between mechanical, optical, and structural properties. Coatings, 9(3), Article 195. https://doi.org/10.3390/coatings9030195

Chen, Y., Zhang, Z., Jiang, H., Li, Z., Miao, G., & Song, H. (2018). Optimized growth of AlN templates for back-illuminated AlGaN-based solar-blind ultraviolet photodetectors by MOCVD. Journal of Materials Chemistry C, 6, 4936–4942. https://doi.org/10.1039/C8TC00755A

Liu, J., Yuan, Y., Ren, Z., Tan, Q., & Xiong, J. (2015). High-temperature dielectric properties of aluminum nitride ceramic for wireless passive sensing applications. Sensors, 15(9), 22660–22671. https://doi.org/10.3390/s150922660

Zhang, L., Yan, H., Sun, K., Liu, S., & Gan, Z. (2019). Molecular dynamics simulations of AlN deposition on GaN substrate. Molecular Physics, 117(13), 1758–1767. https://doi.org/10.1080/00268976.2019.1587025

Zhang, X., Fan, Y., Fan, Y., & Zhang, Q. (2018). Molecular dynamics simulation of aluminum nitride thin film growth. Royal Society Open Science, 5(12), 181206. https://doi.org/10.1098/rsos.181206

Tersoff, J. (1988). Empirical interatomic potential for silicon with improved elastic properties. Physical Review B, 38(14), 9902–9905. https://doi.org/10.1103/PhysRevB.38.9902

Plimpton, S. (1995). Fast parallel algorithms for short-range molecular dynamics. Journal of Computational Physics, 117(1), 1–19. https://doi.org/10.1006/jcph.1995.1039

Stukowski, A. (2009). Visualization and analysis of atomistic simulation data with OVITO—The Open Visualization Tool. Modelling and Simulation in Materials Science and Engineering, 18(1), 015012. https://doi.org/10.1088/0965-0393/18/1/015012

Shibata, T., & Tanaka, S. (2001). Growth mechanism of AlN films by molecular beam epitaxy. Journal of Crystal Growth, 230(3–4), 381–385. https://doi.org/10.1016/S0022-0248(01)01292-6

Cao, Y., Jiang, H., & Li, J. (2013). Molecular dynamics simulation of growth of AlN film. Thin Solid Films, 546, 291–296. https://doi.org/10.1016/j.tsf.2013.04.041

Idogho, C., Owoicho, E., & Abah, J. (2025). Compatibility study of synthesized materials for thermal transport in thermoelectric power generation. American Journal of Innovation in Science and Engineering, 4(1), 1–15. https://doi.org/10.48084/iset.2025.21587205

Nurachman, A., Idogho, C., Harsito, C., Thomas, I., & Abel, E. (2025). Compatibility in thermoelectric material synthesis and thermal transport. Unconventional Resources, 7, Article 100198. https://doi.org/10.1016/j.unconv.2025.100198

Thakur, S., & Rajasekaran, G. (2017). Atomistic simulation of AlN thin film growth by sputtering. Applied Surface Science, 412, 292–298. https://doi.org/10.1016/j.apsusc.2017.03.231

Neugebauer, J., & Van de Walle, C. G. (1994). Gallium nitride semiconductors: Growth, doping, defects, and devices. Journal of Applied Physics, 74(6), 3381–3400. https://doi.org/10.1063/1.354576

Mishra, U. K., Parikh, P., & Wu, Y. F. (2002). AlGaN/GaN HEMTs—An overview of device operation and applications. Proceedings of the IEEE, 90(6), 1022–1031. https://doi.org/10.1109/JPROC.2002.1021567

Chen, H., Liu, D., & Zhao, M. (2016). Molecular dynamics simulation of nanoscale thermal transport in AlN. Computational Materials Science, 112, 1–6. https://doi.org/10.1016/j.commatsci.2015.10.001

Idogho C., Abah E.O., Imbur T., Omenka K., Idoko P.I. (2025).

Numerical simulation and synthesized material ranking for high-temperature thermoelectric power generation.Energy Technology. https://doi.org/10.1002/ente.202502104

Ni, D., Wang, Y., & Huang, Z. (2011). Influence of temperature and surface roughness on thin film growth. Surface and Coatings Technology, 205(17–18), 4211–4216. https://doi.org/10.1016/j.surfcoat.2011.03.024

Erhart, P., & Albe, K. (2005). Analytical potential for atomistic simulations of silicon, carbon, and silicon carbide. Physical Review B, 71(3), 035211. https://doi.org/10.1103/PhysRevB.71.035211

Brenner, D. W. (1990). Empirical potential for hydrocarbons for use in simulating the chemical vapor deposition of diamond films. Physical Review B, 42(15), 9458–9471. https://doi.org/10.1103/PhysRevB.42.9458

Yang, L., & Han, J. (2008). Strain relaxation in GaN and AlN thin films: A molecular dynamics simulation study. Journal of Applied Physics, 103(5), 053511. https://doi.org/10.1063/1.2890143

Kumagai, Y., & Oba, F. (2014). Electrostatics-based finite-size corrections for first-principles point defect calculations. Physical Review B, 89(19), 195205. https://doi.org/10.1103/PhysRevB.89.195205

Idogho, C. (2025). High-temperature performance of Ho–Sb–Te thermoelectrics: Substrate compatibility and geometry-driven efficiency optimization. MDPI. https://doi.org/10.3390/en18123124

Neyts, E. C., & Bogaerts, A. (2014). Understanding plasma–surface interactions in deposition and etching processes: A review on molecular dynamics simulations. Journal of Physics D: Applied Physics, 47(22), 224010. https://doi.org/10.1088/0022-3727/47/22/224010

Gao, F., Heinisch, H. L., & Kurtz, R. J. (2005). Molecular dynamics simulation of damage accumulation in GaN and AlN. Journal of Nuclear Materials, 343(1–3), 58–63. https://doi.org/10.1016/j.jnucmat.2005.03.031

Yuan, X., & Fan, Y. (2015). Effects of deposition rate on atomic structure of AlN film by molecular dynamics simulation. Computational Materials Science, 108, 1–6. https://doi.org/10.1016/j.commatsci.2015.06.002

Jomard, G., Amzallag, E., & Magaud, L. (2011). First-principles calculations of native defects and doping in AlN. Journal of Applied Physics, 109(1), 013705. https://doi.org/10.1063/1.3525938

Jang, J., Kim, H., & Lee, Y. H. (2002). Surface kinetics of GaN and AlN: A molecular dynamics study. Surface Science, 505(1–3), 158–168. https://doi.org/10.1016/S0039-6028(02)01429-6

Ikedionu C.A., Idoko P.I., Omale J.O., Idogho C. (2025).

Mathematical modeling of 3D printing of microreactors for continuous flow chemical processes.

International Journal of Research Publication and Reviews 6, 2008. https://doi.org/10.55248/gengpi

Butler, W. H., Zhang, X.-G., Schulthess, T. C., & MacLaren, J. M. (1995). Article title unavailable. Journal of Magnetism and Magnetic Materials, 151, 354–364.

Abah E.O., Kahandage P.D., Noguchi R., Ahamed T., Adigun P., Idogho C. (2025).

Assessment of platinum catalyst in rice husk combustion: A comparative life cycle analysis with conventional methods.Catalysts 15(8), 717. https://doi.org/10.3390/catalysts15080717

Levy, P. M. (1995). Article title unavailable. Journal of Magnetism and Magnetic Materials, 151, 164–170.

Honda, S., Fujiwara, H., & Fukuyama, H. (1993). Article title unavailable. Journal of Magnetism and Magnetic Materials, 126, 419–423.

Idogho, C., Onuh, P., Ejiga, O. J., Abah, E. O., Onuh, J. O., & Omale, J. (2024). Challenges and opportunities in Nigeria’s renewable energy policy and legislation. World Journal of Advanced Research and Reviews, 23(2), 2354–2372.

Maduabuchi, C. C., Nsude, C., Eneh, C., Eke, E., Okoli, K., Okpara, E., & Idogho, C. (2023). Renewable energy potential estimation using climatic weather forecasting machine learning algorithms. Energies, 16(4), Article 1603. https://doi.org/10.3390/en16041603

Idoko, P. I., Ezeamii, G. C., Idogho, C., Peter, E., Obot, U. S., & Iguoba, V. A. (2024). Mathematical modeling and simulations using MATLAB, COMSOL, and Python. Magna Scientia Advanced Research and Reviews, 12(2), 062–095.

Idogho, C., Abah, E. O., Onuh, J. O., Harsito, I., Omenkafor, K., Samuel, A., & Ejila, A. (2025). Machine learning-based solar photovoltaic power forecasting for Nigerian regions. Energy Science & Engineering, 13(4), 1922–1934. https://doi.org/10.1002/ese3.70013

Downloads

Published

2026-07-29

How to Cite

Idogho, C. ., & Okocha, G. O. . (2026). Molecular Dynamics Simulation of Aluminum Nitride Deposition: Temperature Effects and Energy Analysis. American Journal of Mathematics and Physics, 1(1), 24-33. https://doi.org/10.54536/ajmp.v1i1.6595