IDEAS home Printed from https://ideas.repec.org/a/eee/phsmap/v493y2018icp135-147.html
   My bibliography  Save this article

Thin film growth by 3D multi-particle diffusion limited aggregation model: Anomalous roughening and fractal analysis

Author

Listed:
  • Nasehnejad, Maryam
  • Nabiyouni, G.
  • Gholipour Shahraki, Mehran

Abstract

In this study a 3D multi-particle diffusion limited aggregation method is employed to simulate growth of rough surfaces with fractal behavior in electrodeposition process. A deposition model is used in which the radial motion of the particles with probability P, competes with random motions with probability 1−P. Thin films growth is simulated for different values of probability P (related to the electric field) and thickness of the layer(related to the number of deposited particles). The influence of these parameters on morphology, kinetic of roughening and the fractal dimension of the simulated surfaces has been investigated. The results show that the surface roughness increases with increasing the deposition time and scaling exponents exhibit a complex behavior which is called as anomalous scaling. It seems that in electrodeposition process, radial motion of the particles toward the growing seeds may be an important mechanism leading to anomalous scaling.

Suggested Citation

  • Nasehnejad, Maryam & Nabiyouni, G. & Gholipour Shahraki, Mehran, 2018. "Thin film growth by 3D multi-particle diffusion limited aggregation model: Anomalous roughening and fractal analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 493(C), pages 135-147.
  • Handle: RePEc:eee:phsmap:v:493:y:2018:i:c:p:135-147
    DOI: 10.1016/j.physa.2017.09.099
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378437117309937
    Download Restriction: Full text for ScienceDirect subscribers only. Journal offers the option of making the article available online on Science direct for a fee of $3,000

    File URL: https://libkey.io/10.1016/j.physa.2017.09.099?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Hedayatifar, L. & Masoudi, A.A. & Vasheghani Farahani, S., 2014. "Competitive deposition–evaporation growth models," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 400(C), pages 194-199.
    2. Menshutin, Anton Yu. & Shchur, Lev N. & Vinokour, Valery M., 2008. "Finite size effect of harmonic measure estimation in a DLA model: Variable size of probe particles," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 387(25), pages 6299-6309.
    3. Nogueira, Isadora R. & Alves, Sidiney G. & Ferreira, Silvio C., 2011. "Scaling laws in the diffusion limited aggregation of persistent random walkers," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 390(23), pages 4087-4094.
    4. Somfai, Ellák & C. Ball, Robin & E. Bowler, Neill & M. Sander, Leonard, 2003. "Correction to scaling analysis of diffusion-limited aggregation," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 325(1), pages 19-25.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Pinto, Erveton P. & Pires, Marcelo A. & Matos, Robert S. & Zamora, Robert R.M. & Menezes, Rodrigo P. & Araújo, Raquel S. & de Souza, Tiago M., 2021. "Lacunarity exponent and Moran index: A complementary methodology to analyze AFM images and its application to chitosan films," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 581(C).
    2. Salcedo-Sanz, S. & Cuadra, L., 2019. "Hybrid L-systems–Diffusion Limited Aggregation schemes," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 514(C), pages 592-605.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Nogueira, Isadora R. & Alves, Sidiney G. & Ferreira, Silvio C., 2011. "Scaling laws in the diffusion limited aggregation of persistent random walkers," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 390(23), pages 4087-4094.
    2. Braga, F.L. & Mattos, O.A. & Amorin, V.S. & Souza, A.B., 2015. "Diffusion limited aggregation of particles with different sizes: Fractal dimension change by anisotropic growth," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 429(C), pages 28-34.
    3. Salcedo-Sanz, S. & Cuadra, L., 2019. "Hybrid L-systems–Diffusion Limited Aggregation schemes," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 514(C), pages 592-605.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:phsmap:v:493:y:2018:i:c:p:135-147. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/physica-a-statistical-mechpplications/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.