Abstract
In this paper, we present a method for optimizing of metal nanostructures. The core of the method is a lattice Monte Carlo method with different lattices combined with an approach from molecular dynamics. Interaction between atoms is calculated using multi-body tight-binding model. The method allows solving of problems with periodic boundary conditions. It can be used for modeling of one-dimensional and two-dimensional atomic structures. If periodic boundary conditions are not given, we assume finite dimensions of the model lattice. In addition, automatic relaxation of the crystal lattice can be performed in order to minimize further the potential energy of the system. A computer implementation of the method is developed. It uses the commonly accepted XYZ format for describing atomic structures and passing input parameters. We perform two series of simulations to study the size, composition and temperature dependent surface segregation behaviors and structural atomic instability of Au–Ag nanowires. We found that the most stable mixing configuration of bimetallic nanowires has Ag-rich surface and Au-rich subsurface.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Baibuz, E., Vigonski, S., Lahtinena, J., Zhao, J., Jansson, V., Zadin, V., Djurabekova, F.: Migration barriers for surface diffusion on a rigid lattice: challenges and solutions. Comput. Mater. Sci. 146, 287–302 (2018)
Bilalbegović, G.: Structures and melting in infinite gold nanowires. Solid State Commun. 115, 73–76 (2000)
Calvo, F.: Solid-solution precursor to melting in onion-ring Pd-Pt nanoclusters: A case of second-order-like phase change? Faraday Discuss. 138, 75–88 (2008)
Cleri, F., Rosato, V.: Tight-binding potentials for transition metals and alloys. Phys. Rev. B 48, 22–33 (1993)
Davis, J., Johnston, R., Rubinovich, L., Polak, M.: Comparative modelling of chemical ordering in palladium-iridium nanoalloys. J. Chem. Phys. 141, 224307 (2014)
Deng, L., Hu, W., Deng, H., Xiao, S., Tang, J.: Au-Ag bimetallic nanoparticles: surface segregation and atomic-scale structure. J. Phys. Chem. C 115(23), 11355–11363 (2011)
Diao, J., Gall, K., Dunn, M.L., Zimmerman, J.A.: Atomistic simulations of the yielding of gold nanowires. Acta Mater. 54(3), 643–653 (2006)
Ferrando, R., Fortunelli, A., Johnston, R.: Searching for the optimum structures of alloy nanoclusters. Phys. Chem. Chem. Phys. 10, 640–649 (2008)
Gilroy, K.D., Ruditskiy, A., Peng, H-Ch., Qin, D., Xia, Y.: Bimetallic nanocrystals: syntheses, properties, and applications. Chem. Rev. 116(18), 10414–10472 (2016)
Gorshkov, V., Privman, V.: Kinetic Monte Carlo model of breakup of nanowires into chains of nanoparticles. J. Appl. Phys. 122(20), 204301 (2017)
Granberg, F., Parviainen, S., Djurabekova, F., Nordlund, K.: Investigation of the thermal stability of Cu nanowires using atomistic simulations. J. Appl. Phys. 115(21), 213518 (2014)
Hausera, A.W., Schnedlitz, M., Ernst, W.E.: A coarse-grained Monte Carlo approach to diffusion processes in metallic nanoparticles. Eur. Phys. J. D 71, 150 (2017)
He, X., Cheng, F., Chen, Z.-X.: The lattice kinetic Monte Carlo simulation of atomic diffusion and structural transformation for gold. Sci. Rep. 6(1), 33128 (2016)
Karim, S., Toimil-Molares, M.E., Balogh, A.G., et al.: Morphological evolution of Au nanowires controlled by Rayleigh instability. Nanotechnology 17(24), 5954–5959 (2006)
Knez, D., Schnedlitz, M., Lasserus, M., Schiffmann, A., Ernst, W.E., Hofer, F.: Modelling electron beam induced dynamics in metallic nanoclusters. Ultramicroscopy 192, 69–79 (2018)
Langley, D.P., Lagrange, M., Giusti, G., Jiménez, C., et al.: Metallic nanowire networks: effects of thermal annealing on electrical resistance. Nanoscale 6(22), 13535–13543 (2014)
Li, H., Biser, J.M., Perkins, J.T., Dutta, S., et al.: Thermal stability of Cu nanowires on a sapphire substrate. J. Appl. Phys. 103(2), 024315 (2008)
Liu, W., Chen, P., Qiu, R., Khan, M., et al.: A molecular dynamics simulation study of irradiation induced defects in gold nanowire. Nucl. Instrum. Methods Phys. Res. Sect. B Beam Interact. with Mater. Atoms. 405, 22–30 (2017)
Luo, M., Liu, Y., Huang, W., Qiao, W.: Towards flexible transparent electrodes based on carbon and metallic materials. Micromachines 8(1), 12 (2017)
Myshlavtsev, A.V., Stishenko, P.V.: Modification of the Metropolis algorithm for modeling metallic nanoparticles. Omsk Sci. Newsp. 1(107), 21–25 (2012). (in Russian)
Naik, J., Cheneler, D., Bowen, J., Prewett, P.D.: Liquid-like behaviour of gold nanowire bridges. Appl. Phys. Lett. 111, 073104 (2017)
Oh, H., Lee, J., Lee, M.: Transformation of silver nanowires into nanoparticles by Rayleigh instability: Comparison between laser irradiation and heat treatment. Appl. Surf. Sci. 427, 65–73 (2018)
Oh, Y., Lee, M.: Single-pulse transformation of Ag thin film into nanoparticles via laser-induced dewetting. Appl. Surf. Sci. 399(31), 555–564 (2017)
Olsson, P.A.T., Park, H.S.: Atomistic study of the buckling of gold nanowires. Acta Mater. 59(10), 3883–3894 (2011)
Panizon, E., Olmos-Asar, J., Peressi, M., Ferrando, R.: The study of the structure and thermodynamics of CuNi nanoalloys using a new DFT-fitted atomistic potential. Phys. Chem. Chem. Phys. 17, 28068–28075 (2015)
Parsina, I., DiPaola, C., Baletto, F.: A novel structural motif for free CoPt nanoalloys. Nanoscale 4, 1160–1166 (2012)
Paz-Borbon, L., Mortimer-Jones, T., Johnston, R., Posada-Amarillas, A., et al.: Structures and energetics of 98 atom Pd–Pt nanoalloys: potential stability of the Leary tetrahedron for bimetallic nanoparticles. Phys. Chem. Chem. Phys. 9, 5202–5208 (2007)
Rauber, M., Muench, F., Toimil-Molares, M.E., Ensinger, W.: Thermal stability of electrodeposited platinum nanowires and morphological transformations at elevated temperatures. Nanotechnology 23(47), 475710 (2012)
Sannicolo, T., Lagrange, M., Cabos, A., et al.: Metallic nanowire-based transparent electrodes for next generation flexible devices: a review. Small 12(44), 6052–6075 (2016)
Schebarchov, D., Wales, D.: A new paradigm for structure prediction in multicomponent systems. J Chem Phys. 139(22), 221101 (2013)
Schebarchov, D., Wales, D.: Quasi-combinatorial energy landscapes for nanoalloy structure optimization. Phys. Chem. Chem. Phys. 17, 28331–28338 (2015)
Schnedlitz, M., Lasserus, M., Meyer, R., Knez, D., et al.: Stability of core−shell nanoparticles for catalysis at elevated temperatures: structural inversion in the Ni−Au system observed at atomic resolution. Chem. Mater. 30, 1113–1120 (2018)
Shayeghi, A., Götz, D., Davis, J.B.A., Schäfer, R., Johnston, R.L.: Pool-BCGA: a parallelised generation-free genetic algorithm for the ab initio global optimisation of nanoalloy clusters. Phys. Chem. Chem. Phys. 17, 2104 (2015)
Toai, T.J., Rossi, G., Ferrando, R.: Global optimisation and growth simulation of AuCu clusters. Faraday Discuss. 138, 49–58 (2008)
Vigonski, S., Jansson, V., Vlassov, S., Polyakov, B., et al.: Au nanowire junction breakup through surface atom diffusion. Nanotechnology 29, 015704 (2018)
Wang, B., Han, Y., Xu, Sh, Qiu, L., Ding, F., Lou, J., Lu, Y.: Mechanically assisted self-healing of ultrathin gold nanowires. Small 14(20), 1704085 (2018)
Xu, Sh, Li, P., Lu, Y.: In situ atomic-scale analysis of Rayleigh instability in ultrathin gold nanowires. Nano Res. 11(2), 625–632 (2018)
Zepeda-Ruiz, L.A., Sadigh, B., Biener, J., Hodge, A.M., et al.: Mechanical response of freestanding Au nanopillars under compression. Appl. Phys. Lett. 91(10), 101907 (2007)
Acknowledgements
This research is supported by the Russian Foundation for Basic Research project No. 18-38-00571 mol_a and National Scientific Program “Information and Communication Technologies for a Single Digital Market in Science, Education and Security (ICTinSES)”, Ministry of Education and Science—Bulgaria and the Bulgarian NSF under the grant DFNI-DN 12/5.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Switzerland AG
About this chapter
Cite this chapter
Myasnichenko, V., Sdobnyakov, N., Kirilov, L., Mikhov, R., Fidanova, S. (2020). Structural Instability of Gold and Bimetallic Nanowires Using Monte Carlo Simulation. In: Fidanova, S. (eds) Recent Advances in Computational Optimization. Studies in Computational Intelligence, vol 838. Springer, Cham. https://doi.org/10.1007/978-3-030-22723-4_9
Download citation
DOI: https://doi.org/10.1007/978-3-030-22723-4_9
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-22722-7
Online ISBN: 978-3-030-22723-4
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)