Dynamics of lithium ions on a silicene anode grown by vapor deposition using Morse and MEAM potentials

Authors

DOI:

https://doi.org/10.5902/2179460X86861

Keywords:

Silicene, Lithium-ion battery, Molecular dynamics

Abstract

Silicene, the silicon analogue of graphene, has been theoretically envisioned as a material with great potential applications, especially as an anode in lithium-ion batteries. However, the understanding of its behavior as an anode remains unclear, as research in this area is still in its preliminary phases. Furthermore, existing studies do not account for defects commonly found in silicene layers, which could potentially alter its behavior as an anode. Therefore, this study investigates the dynamics of Li ions on a defective silicene layer using molecular dynamics simulations and two distinct interatomic potentials: Morse and 2NN-MEAM. The results show that with both potentials, Li ions tend to position themselves in the middle of Si rings with six or more elements without significantly deforming the nearby lattice. However, the 2NN-MEAM potential causes severe deformation during Li diffusion on rings with five or less elements, making it impractical to investigate silicene as anode. In contrast, the Morse potential manages to maintain the silicene's structure. Nevertheless, during the insertion of Li ions into the anode’s channel, Si adatoms create barriers to Li diffusion, damaging the silicene structure. These results cast uncertainty upon the feasibility of employing silicene as anode.

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Author Biographies

Alexandre Melhorance Barboza, Universidade do Estado do Rio de Janeiro

Mechanical engineer with academic distinction Magna Laude and PhD in computational modeling (direct doctorate) from the State University of Rio do Janeiro (UERJ). He has knowledge in the area of molecular dynamics directed to nanocrystalline and two-dimensional materials, working mainly in the study of deformation mechanisms and thermomechanical properties using atomistic simulations with the LAMMPS code.

Luis César Rodríguez Aliaga, Universidade do Estado do Rio de Janeiro

Holds a bachelor's degree in Computer Science and Informatics from the Manuel Gonzales Prada Technological Institute (1995), a bachelor's degree in Physics from the National University of Trujillo - Peru (1999), a master's degree in Physics from the Federal University of São Carlos (2003), and a Ph.D. in Materials Science and Engineering from the Federal University of São Carlos (2007). Has experience in the field of ceramic physics with emphasis on superconductors, in Materials and Metallurgical Engineering, with emphasis on Amorphous and Nanocrystalline Materials, working mainly on the following topics: Metallic glasses, amorphization criteria, crystallization as well as in nuclear fuel physics, fission products, and neutron absorbers, Technological development of advanced meta-stable alloys and simulation in molecular dynamics.

 

Daiara Fernandes de Faria, Universidade do Estado do Rio de Janeiro

Is a Physics Professor at the Polytechnic Institute of the State University of Rio de Janeiro since 2015. Holds a Bachelor's degree (12/2008), a direct Ph.D. (01/2014), and a Postdoctoral degree (2014-2015) in Physics from the Federal Fluminense University. During her Ph.D., she participated in two sandwich Ph.D. internships, the first at Ohio University (2011-2012) and the second at Freie Universität Berlin (2013). Is engaged in research in Condensed Matter Physics. Is interested in computational simulation of electronic transport in materials. Investigates electronic properties of two-dimensional materials using Hamiltonian formalisms at the continuum and electronic scales.

Ivan Napoleão Bastos, Universidade do Estado do Rio de Janeiro

Graduated in Metallurgical Engineering from the Federal University of Rio de Janeiro (1991), Master's in Metallurgical and Materials Engineering from the Federal University of Rio de Janeiro (1994), and Ph.D. in Metallurgical and Materials Engineering from the Federal University of Rio de Janeiro (1999). Postdoctoral fellow at the Institut National Polytechnique de Grenoble - France. Full Professor at the State University of Rio de Janeiro. CNPq productivity researcher since 2008. Experience in Materials and Metallurgical Engineering, with emphasis on corrosion, mainly working on the following topics: corrosion, stainless steel, electrochemical techniques applied to corrosion, corrosion under mechanical stress. 

References

Andrade, J. S., Bastos, I. N., Aliaga, L. C. R. (2021). Determinação das características estruturais e mecânicas da liga de alta entropia Hf-Nb-Ta-Zr. VETOR - Revista De Ciências Exatas E Engenharias, 30(2), 22–32. https://doi.org/10.14295/vetor.v30i2.13090.

Barboza, A. M., Aliaga, L. C. R., Faria, D., Bastos, I. N. (2022). Bilayer graphene kirigami. Carbon Trends, 9, 100227. https://doi.org/10.1016/j.cartre.2022.100227.

Barboza, A. M., Silva-Santos, J. A., Aliaga, L. C. R., Bastos, I. N., Faria, D. (2024). Silicene growth mechanisms on Au(111) and Au(110) substrates. Nanotechnology, 35, 165602. https://doi.org/10.1088/1361-6528/ad1aff.

Cherukara, M.J., Narayanan, B., Chan, H., and Sankaranarayanan, S. K. R. S. (2017). Silicene growth through island migration and coalescence. Nanoscale, 9, 10186–10192. https://doi.org/10.1039/C7NR03153J.

Cui, Z, Gao, F., and Qu, J. (2012). A second nearest-neighbor embedded atom method interatomic potential for Li–Si alloys. Journal of Power Sources, 207, 150–159. https://doi.org/10.1016/j.jpowsour.2012.01.145.

Feng, J.-W., Wang, H.-X., Zhao, J.-X., Cai, Q.-H., and Wang, X.-Z. (2014). Gas adsorption on silicene: A theoretical study. Computational Materials Science, 87, 218–226. https://doi.org/10.1016/j.commatsci.2014.02.025.

Galashev, A. Y., Ivanichkina, K., Katin, K., and Maslov, M. (2019). Computational Study of Lithium Intercalation in Silicene Channels on a Carbon Substrate after Nuclear Transmutation Doping. Computation, 7(4), 60–75. https://doi.org/10.3390/computation7040060.

Galashev, A. Y., Katin, K. P., and Maslov, M. M. (2019). Morse parameters for the interaction of metals with graphene and silicene. Physics Letters A, 383(2-3), 252–258. https://doi.org/10.1016/j.physleta.2018.10.025.

Galashev, A. Y., and Rakhmanova, O. R. (2019). Computer simulation of a forced drift of lithium ions through graphene membranes. High Temperature, 54, 11–19. https://doi.org/10.1134/S0018151X15050120.

Galashev, A. Y., Suzdaltsev, A. V., and Ivanichkina, K. A. (2020). Design of the high performance microbattery with silicene anode. Materials Science & Engineering B, 261, 114718. https://doi.org/10.1016/j.mseb.2020.114718.

Han, J., Li, H., and Yang, Q.-H. (2021). Compact energy storage enabled by graphenes: Challenges, strategies and progress. Materials today, 51, 552–565. https://doi.org/10.1016/j.mattod.2021.07.026.

Hirel, P. (2015). Atomsk: A tool for manipulating and converting atomic data files. Computer Physics Communications, 197, 212-219. https://doi.org/10.1016/j.cpc.2015.07.012.

Hüger, E., and Schmidt, H. (2018). Lithium permeability increase in nanosized amorphous silicon layers. Journal of Physical Chemistry C, 122(50), 28528–28536. https://doi.org/10.1021/acs.jpcc.8b09719.

Kim, Y.-M., Jung, I.-H., and Lee, B.-J. (2012). Atomistic modeling of pure Li and Mg–Li system. Modelling and Simulation in Materials Science and Engineering, 20, 035005. http://10.1088/0965-0393/20/3/035005.

Liu, J., Lyu, P., Nachtigall, P., and Xu, Y. (2018). Few-Layer Silicene Nanosheets with Superior Lithium- Storage Properties. Advanced Materials, 30, 1800838. https://doi.org/10.1002/adma.201800838.

Luo, X., Lang, J., Lv, S., and Li, Z. (2018). High performance sandwich structured Si thin film anodes with LiPON coating. Frontiers of Materials Science, 12, 147–155. https://doi.org/10.1007/s11706-018-0416-1.

Marom, R., Almaraj, S. F., Leifer, N., Jacob, D., and Aurbach, D. (2011). A review of advanced and practical lithium battery materials. Journal of Materials Chemistry, 21, 9938–9954. https://doi.org/10.1039/C0JM04225K.

Müser, M. H., Sukhomlinov, S. V., and Pastewka, L. (2022). Interatomic potentials: achievements and challenges. Advances in Physics: X, 8(1), 2093129. https://doi.org/10.1080/23746149.2022.2093129.

Salah, M., Murphy, P., Hall, C., Francis, C., Kerr, R., and Fabretto, M. (2019). Pure silicon thin-film anodes for lithium-ion batteries: A review. Journal of Power Sources, 414, 48–67. https://doi.org/10.1016/j.jpowsour.2018.12.068.

Sassa, Y., Johansson, F. O. L., Lindblad, A., Yazdi, M. G. et al. (2020). Kagome-like silicene: A novel exotic form of two-dimensional epitaxial silicon. Applied Surface Science, 530, 147195. https://doi.org/10.1016/j.apsusc.2020.147195.

Starikov, S., Lopanitsyna, N., Smirnova, D., and Makarov, S. (2018). Atomistic simulation of Si-Au melt crystallization with novel interatomic potential. Computational Materials Science, 142, 303–311. https://doi.org/10.1016/j.commatsci.2017.09.054.

Stukowski, A. (2010). Visualization and analysis of atomistic simulation data with OVITO the Open Visualization Tool. Modelling and Simulation in Materials Science and Engineering, 18, 015012. https://doi.org/10.1088/0965-0393/18/1/015012.

Tadmor, E. B., Elliott, R. S., Sethna, J. P., Miller, R. E., and C. A. Becker. (2011). The Potential of Atomistic Simulations and the Knowledgebase of Interatomic Models. JOM, 63, 17. https://doi.org/10.1007/s11837-011-0102-6.

Thompson, A.P., Aktulga, H.M., Berger, R. et al. (2022). LAMMPS - a flexible simulation tool for particle-based materials modeling at the atomic, meso, and continuum scales. Computer Physics Communications, 271, 10817. https://doi.org/10.1016/j.cpc.2021.108171.

You, Y., Yang, C., Zhang, X., Lin, H., and Shi, J. (2021). Emerging two-dimensional silicene nanosheets for biomedical applications. Materials Today Nano, 16, 100132. https://doi.org/10.1016/j.mtnano.2021.100132.

Zhao, J, Liu, H., Yu, Z., Quhe, R. et al. (2016). Rise of silicene: A competitive 2D material. Progress in Materials Science, 83, 24–151. https://doi.org/10.1016/j.pmatsci.2016.04.001.

Zhuang, J., Xu, X., Peleckis, G., Hao, W. et al. (2017). Silicene: A Promising Anode for Lithium-Ion Batteries. Advanced Materials, 29, 1606716. https://doi.org/10.1002/adma.201606716.

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Published

2024-11-04

How to Cite

Barboza, A. M., Aliaga, L. C. R., Faria, D. F. de, & Bastos, I. N. (2024). Dynamics of lithium ions on a silicene anode grown by vapor deposition using Morse and MEAM potentials. Ciência E Natura, 46(esp. 1), e86861. https://doi.org/10.5902/2179460X86861

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