OSA's Digital Library

Optics Express

Optics Express

  • Editor: Andrew M. Weiner
  • Vol. 21, Iss. 22 — Nov. 4, 2013
  • pp: 26942–26954

Nanobubble evolution around nanowire in liquid

Anis Chaari, Thomas Grosges, Laurence Giraud-Moreau, and Dominique Barchiesi  »View Author Affiliations

Optics Express, Vol. 21, Issue 22, pp. 26942-26954 (2013)

View Full Text Article

Enhanced HTML    Acrobat PDF (1533 KB)

Browse Journals / Lookup Meetings

Browse by Journal and Year


Lookup Conference Papers

Close Browse Journals / Lookup Meetings

Article Tools



The evolution of the shape and size of a bubble around a nanowire immersed in a liquid can be studied as a light absorption problem and consequently can directly be related to the distribution of the temperature around the nanowire. Such a physical phenomenon can be seen as the photo-thermal coupled problem of nanowire illuminated by an electromagnetic wave. The resolution of the multiphysic model allows to compute the variation of the temperature and consequently the evolution of the created bubble. An advanced adaptive remeshing process is developed to solve the numerical model using Finite Element Method. An optimization process is applied to solve the coupled problem and is used to detect the size of the produced bubble around nanowire under illumination. The adaptive remeshing process permits to control the convergence of the numerical solution relatively to the evolution of the temperature field. The process allows to study the evolution of the shape and size of the bubble. We show the influence of the laser parameters on the evolution of the bubble. The informations about the geometry of the nanowire can be deduced from the size and shape of the bubble.

© 2013 OSA

OCIS Codes
(000.4430) General : Numerical approximation and analysis
(120.6810) Instrumentation, measurement, and metrology : Thermal effects
(260.2110) Physical optics : Electromagnetic optics
(050.1755) Diffraction and gratings : Computational electromagnetic methods

ToC Category:
Instrumentation, Measurement, and Metrology

Original Manuscript: September 30, 2013
Revised Manuscript: October 14, 2013
Manuscript Accepted: October 16, 2013
Published: October 30, 2013

Anis Chaari, Thomas Grosges, Laurence Giraud-Moreau, and Dominique Barchiesi, "Nanobubble evolution around nanowire in liquid," Opt. Express 21, 26942-26954 (2013)

Sort:  Author  |  Year  |  Journal  |  Reset  


  1. M. Boroski, A. C. Rodrigues, J. C. Garcia, L. C. Sampaio, J. Nozaki, and N. Hioka, “Combined electrocoagulation and TiO2photoassisted treatment applied to wastewater effluents from pharmaceutical and cosmetic industries original,” J. Hazard. Mater.162, 448–454 (2009). [CrossRef]
  2. D. Karamanis, A. N. Okte, E. Vardoulakis, and T. Vaimakis, “Water vapor adsorption and photocatalytic pollutant degradation with TiO2-sepiolite nanocomposites original,” Appl. Clay Sci.53, 181–187 (2011). [CrossRef]
  3. G. Bystrzejewska-Piotrowska, J. Golimowski, and P. L. Urban, “Nanoparticles: their potential toxicity, waste and environmental management,” Waste Manage.29, 2587–2595 (2009). [CrossRef]
  4. B. Nowack, “The behavior and effects of nanoparticles in the environment,” Environ. Pollut.157, 1063–1064 (2009). [CrossRef] [PubMed]
  5. D. Lapotko and E. Lukianova, “Laser-induced micro-bubbles in cells,” Int. J. Heat Mass Transf.48(1), 227–234 (2005). [CrossRef]
  6. D. Lapotko, E. Lukianova, and A. Shnip, “Photothermal responses of individual cells,” J. Biomed. Opt.10, 014006 (2004). [CrossRef]
  7. D. Barchiesi, T. Grosges, E. Kremer, and M. Lamy de la Chapelle, “Electromagnetic heat induced in meso-structures: computation of temperature in metallic dimers,” PIERS Online7, 406–410 (2011).
  8. T. Grosges, H. Borouchaki, and D. Barchiesi, “New adaptive mesh development for accurate near-field enhancement computation,” J. Microsc.229, 293–301 (2008). [CrossRef] [PubMed]
  9. M. Born and E. Wolf, Principle of Optics (Pergamon, 1993).
  10. J. Jin, The Finite Element Method in Electromagnetics (John Wiley and Sons, 1993).
  11. T. Grosges, S. Petit, D. Barchiesi, and S. Hudlet, “Numerical modeling of the subwavelength phase-change recording using an apertureless scanning near-field optical microscope,” Opt. Express12, 5987–5995 (2004). [CrossRef] [PubMed]
  12. T. Grosges, A. Vial, and D. Barchiesi, “Models of near field spectroscopic studies: comparison between finite element and finite difference methods,” Opt. Express13, 8483–8497 (2005). [CrossRef] [PubMed]
  13. R. Courant, “Variational methods for the solution of problems of equilibrium and vibrations,” Bull. Amer. Math. Soc.49, 1–23 (1943). [CrossRef]
  14. P. Silvester and G. Pelosi, Finite Elements for Wave Electromagnetics: Methods and Techniques (IEEE, 1994).
  15. D. Barchiesi, E. Kremer, A. Cherouat, T. Grosges, and H. Borouchaki, “Dilation of nanonatennas induced by an electromagnetic source,” Adv. Electromagn.1, 48–57 (2012). [CrossRef]
  16. I. Stakgold, Boundary Value Problems of Mathematical Physics (Macmillan, 1968), vol. I-II.
  17. P. G. Ciarlet, Basic Error Estimates for Elliptic Problems (North Holland, 1991).
  18. D. Xue and L. Demkowicz, “Modeling of electromagnetic absorption/scattering problems on curvilinear geometries using hp finite/infinite element method,” Finite Elem. Anal. Des.42, 570–579 (2006). [CrossRef]
  19. T. Grosges, H. Borouchaki, and D. Barchiesi, “Improved scheme for accurate computation of high electric near-field gradients,” Opt. Express15, 1307–1321 (2007). [CrossRef] [PubMed]
  20. R. Radovitzky and M. Ortiz, “Error estimation and adaptive meshing in strongly non-linear dynamic problems,” Comput. Meth. Appl. Mech. Eng.172, 203–240 (1999). [CrossRef]
  21. M. Ainsworth and J. T. Oden, “A posteriori error estimation in finite element analysis,” Comput. Meth. Appl. Mech. Eng.142, 1–88 (1997). [CrossRef]
  22. T. L. Brown and J. A. Rice, “The effect of laser wavelength and power density on the laser desorption mass spectrum of fulvic acid,” Org. Geochem.31, 627–634 (2000). [CrossRef]
  23. K. O’Connor, O. Morris, and E. Sokell, “Angular and energy distribution of Sn ion debris ejected from a laser-produced plasma source, for laser power densities in the range suitable for extreme ultraviolet lithography,” J. Appl. Phys.109, 073301 (2011). [CrossRef]
  24. D. Marquardt, “An algorithm for least-squares estimation of nonlinear parameters,” SIAM J. Appl. Math.11, 431–441 (1963). [CrossRef]
  25. P. E. Gill and W. Murray, “Algorithms for the solution of the nonlinear least-squares problem,” SIAM J. Numer. Anal.15, 977–992 (1978). [CrossRef]

Cited By

Alert me when this paper is cited

OSA is able to provide readers links to articles that cite this paper by participating in CrossRef's Cited-By Linking service. CrossRef includes content from more than 3000 publishers and societies. In addition to listing OSA journal articles that cite this paper, citing articles from other participating publishers will also be listed.

« Previous Article  |  Next Article »

OSA is a member of CrossRef.

CrossCheck Deposited