Abstract
Among various carbon allotropes, graphynes are a class of two-dimensional nanosheets, analogous to graphene, that recently have been considered as ideal nanofilters for small gas molecules. In this work, the authors report molecular dynamics (MD) simulations of graphtriyne-H\(_{2}\)O system performed using refined potentials. Intermolecular forces are the key points that govern the adsorption dynamics of gaseous molecules on graphynes surfaces. In order to define the full intermolecular potentials, the Improved Lennard-Jones (ILJ) semi-empirical potential have been subsequently modified by adding an induction term (ind) to take into account the polarizability of H\(_{2}\)O molecules. Evaluation of the computational cost and the distribution of H\(_{2}\)O molecules over graphtriyne membrane have been assessed by comparing the intermolecular forces with and without inclusion of induction potential.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Faginas-Lago, N., Lombardi, A., Albertí, M., Grossi, G.: Accurate analytic intermolecular potential for the simulation of Na\(^{+}\) and K\(^{+}\) ion hydration in liquid water. J. Mol. Liq. 204, 192–197 (2015). https://doi.org/10.1016/j.molliq.2015.01.029
Faginas-Lago, N., Albertí, M., Laganà, A., Lombardi, A.: Ion-water cluster molecular dynamics using a semiempirical intermolecular potential. In: Gervasi, O., et al. (eds.) ICCSA 2015. LNCS, vol. 9156, pp. 355–370. Springer, Cham (2015). https://doi.org/10.1007/978-3-319-21407-8_26
Rappe, A.K., Casewit, C.J., Colwell, K.S., Goddard, W.A., Skiff, W.M.: UFF, a full periodic table force field for molecular mechanics and molecular dynamics simulations. J. Am. Chem. Soc. 114(25), 10024–10035 (1992). https://doi.org/10.1021/ja00051a040
Pearlman, D., et al.: AMBER, a package of computer-programs for applying molecular mechanics, normal-mode analysis, molecular-dynamics and free-energy calculations to simulate the structural and energetic properties of molecules. Comput. Phys. Commun. 91, 1–41 (1995). https://doi.org/10.1016/0010-4655(95)00041-D
Faginas-Lago, N., Albertí, M., Laganà, A., Lombardi, A.: Water (H\(_{2}\)O)\(_{m}\) or benzene (C\(_{6}\)H\(_{6}\)))\(_{n}\) aggregates to solvate the K\(^{+}\)? In: Murgante, B., Misra, S., Carlini, M., Torre, C.M., Nguyen, H.Q., Taniar, D., Apduhan, B.O., Gervasi, O. (eds.) Computational Science and Its Applications -ICCSA 2013, pp. 1–15. Springer, Berlin Heidelberg (2013). https://doi.org/10.1007/978-3-642-39637-3_1
Lago, N.F., Albertí, M., Laganà, A., Lombardi, A., Pacifici, L., Costantini, A.: The molecular stirrer catalytic effect in methane ice formation. In: Murgante, B., et al. (eds.) ICCSA 2014. LNCS, vol. 8579, pp. 585–600. Springer, Cham (2014). https://doi.org/10.1007/978-3-319-09144-0_40
Das, A.K., et al.: Development of an advanced force field for water using variational energy decomposition analysis. J. Chem. Theory Comput. 15(9), 5001–5013 (2019). https://doi.org/10.1021/acs.jctc.9b00478
Wang, H., Yang, W.: Force field for water based on neural network. J. Phys. Chem. Lett. 9(12), 3232–3240 (2018). https://doi.org/10.1021/acs.jpclett.8b01131
Albertí, M., Pirani, F., Laganà, A.: Carbon dioxide clathrate hydrates: selective role of intermolecular interactions and action of the SDS catalyst. J. Phys. Chem. A 117(32), 6991–7000 (2013). https://doi.org/10.1021/jp3126158
Albertí, M., Aguilar, A., Cappelletti, D., Laganà, A., Pirani, F.: On the development of an effective model potential to describe water interaction in neutral and ionic clusters. Int. J. Mass Spectrom. 280, 50–56 (2009). https://doi.org/10.1016/j.ijms.2008.07.018
Liu, B., Smit, B.: Molecular simulation studies of separation of CO\(_{2}\)/N\(_{2}\), CO\(_{2}\)/CH\(_{4}\), and CH\(_{4}\)/N\(_{2}\) by ZIFs. J. Phys. Chem. C 114(18), 8515–8522 (2010). https://doi.org/10.1021/jp101531m
Faginas-Lago, N., Albertí, M., Costantini, A., Laganà, A., Lombardi, A., Pacifici, L.: An innovative synergistic grid approach to the computational study of protein aggregation mechanisms. J. Mol. Model. 20(7), 2226 (2014). https://doi.org/10.1007/s00894-014-2226-4
Rampino, S., Faginas-Lago, N., Laganà, A., Huarte-Larrañaga, F.: An extension of the grid empowered molecular simulator to quantum reactive scattering. J. Comput. Chem. 33(6), 708–714 (2012). https://doi.org/10.1002/jcc.22878
Lombardi, A., Faginas-Lago, N., Laganà, A.: Grid calculation tools for massive applications of collision dynamics simulations: carbon dioxide energy transfer. In: Murgante, B., et al. (eds.) ICCSA 2014. LNCS, vol. 8579, pp. 627–639. Springer, Cham (2014). https://doi.org/10.1007/978-3-319-09144-0_43
Lombardi, A., Faginas-Lago, N., Pacifici, L., Grossi, G.: Energy transfer upon collision of selectively excited CO\(_{2}\) molecules: State-to-state cross sections and probabilities for modeling of atmospheres and gaseous flows. J. Chem. Phys. 143(3), 034307 (2015). https://doi.org/10.1063/1.4926880
Faginas-Lago, N., Lombardi, A., Pacifici, L., Costantini, A.: Design and implementation of a grid application for direct calculations of reactive rates. Comput. Theor. Chem. 1022, 103–107 (2013). https://doi.org/10.1016/j.comptc.2013.08.014
DuBay, K.H., Hall, M.L., Hughes, T.F., Wu, C., Reichman, D.R., Friesner, R.A.: Accurate force field development for modeling conjugated polymers. J. Chem. Theory Comput. 8(11), 4556–4569 (2012). https://doi.org/10.1021/ct300175w
Faginas-Lago, N., Apriliyanto, Y.B., Lombardi, A.: Molecular simulations of CO\(_{2}\)/N\(_{2}\)/H\(_{2}\)O gaseous mixture separation in graphtriyne membrane. In: Misra, S., et al. (eds.) ICCSA 2019. LNCS, vol. 11624, pp. 374–387. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-24311-1_27
Smit, B.: Carbon capture and storage: introductory lecture. Faraday Discuss. 192, 9–25 (2016). https://doi.org/10.1039/C6FD00148C
Bui, M., et al.: Carbon capture and storage (CCS): the way forward. Energy Environ. Sci. 11, 1062–1176 (2018). https://doi.org/10.1039/C7EE02342A
Srinivas, G., Krungleviciute, V., Guo, Z.X., Yildirim, T.: Exceptional CO\(_{2}\) capture in a hierarchically porous carbon with simultaneous high surface area and pore volume. Energy Environ. Sci. 7, 335–342 (2014). https://doi.org/10.1039/C3EE42918K
Ghosh, S., Sevilla, M., Fuertes, A.B., Andreoli, E., Ho, J., Barron, A.R.: Defining a performance map of porous carbon sorbents for high-pressure carbon dioxide uptake and carbon dioxide-methane selectivity. J. Mater. Chem. A 4, 14739–14751 (2016). https://doi.org/10.1039/C6TA04936B
Kim, J., Lin, L.C., Swisher, J.A., Haranczyk, M., Smit, B.: Predicting large CO\(_{2}\) adsorption in aluminosilicate zeolites for postcombustion carbon dioxide capture. J. Am. Chem. Soc. 134(46), 18940–18943 (2012). https://doi.org/10.1021/ja309818u
Lin, L.C., et al.: Understanding CO\(_{2}\) dynamics in metal-organic frameworks with open metal sites. Angew. Chem. Int. Ed. 52(16), 4410–4413 (2013). https://doi.org/10.1002/anie.201300446
Schrier, J.: Carbon dioxide separation with a two-dimensional polymer membrane. ACS Appl. Mater. Interfaces. 4(7), 3745–3752 (2012). https://doi.org/10.1021/am300867d
Xiang, Z., et al.: Systematic tuning and multifunctionalization of covalent organic polymers for enhanced carbon capture. J. Am. Chem. Soc. 137(41), 13301–13307 (2015). https://doi.org/10.1021/jacs.5b06266
Liu, H., et al.: A hybrid absorption-adsorption method to efficiently capture carbon. Nat. Commun. 5, 5147 (2014). https://doi.org/10.1038/ncomms6147
Apriliyanto, Y.B., Darmawan, N., Faginas-Lago, N., Lombardi, A.: Two-dimensional diamine-linked covalent organic frameworks for co 2/n 2 capture and separation: theoretical modeling and simulations. Phys. Chem. Chem. Phys. 22(44), 25918–25929 (2020). https://doi.org/10.1039/D0CP04258G
Bartolomei, M., Carmona-Novillo, E., Giorgi, G.: First principles investigation of hydrogen physical adsorption on graphynes’ layers. Carbon 95, 1076–1081 (2015). https://doi.org/10.1016/j.carbon.2015.08.118
Ganesan, A., Shaijumon, M.: Activated graphene-derived porous carbon with exceptional gas adsorption properties. Microporous Mesoporous Mater. 220, 21–27 (2015). https://doi.org/10.1016/j.micromeso.2015.08.021
Apriliyanto, Y.B., et al.: Nanostructure selectivity for molecular adsorption and separation: the case of graphyne layers. J. Phys. Chem. C 122(28), 16195–16208 (2018). https://doi.org/10.1021/acs.jpcc.8b04960
Faginas-Lago, N., Yeni, D., Huarte, F., Wang, Y., Alcamí, M., Martin, F.: Adsorption of hydrogen molecules on carbon nanotubes using quantum chemistry and molecular dynamics. J. Phys. Chem. A 120(32), 6451–6458 (2016). https://doi.org/10.1021/acs.jpca.5b12574
Yeamin, M.B., Faginas-Lago, N., Albertí, M., García Cuesta, I., Sánchez-Marín, J., Sánchez de Merás, A.: Multi-scale theoretical investigation of molecular hydrogen adsorption over graphene: coronene as a case study. RSC Adv. 4, 54447–54453 (2014). https://doi.org/10.1039/C4RA08487J
Faginas-Lago, N., Apriliyanto, Y.B., Lombardi, A.: Confinement of co\(_{2}\) inside carbon nanotubes. Eur. Phys. J. D 75(161), 1–10 (2021). https://doi.org/10.1140/epjd/s10053-021-00176-7
James, A., et al.: Graphynes: indispensable nanoporous architectures in carbon flatland. RSC Adv. 8, 22998–23018 (2018). https://doi.org/10.1039/C8RA03715A
Bartolomei, M., Giorgi, G.: A novel nanoporous graphite based on graphynes: First-principles structure and carbon dioxide preferential physisorption. ACS Appl. Mater. Interfaces. 8(41), 27996–28003 (2016). https://doi.org/10.1021/acsami.6b08743
Lim, J.R., Yang, C.T., Kim, J., Lin, L.C.: Transferability of CO\(_{2}\) force fields for prediction of adsorption properties in all-silica zeolites. J. Phys. Chem. C 122(20), 10892–10903 (2018). https://doi.org/10.1021/acs.jpcc.8b02208
Boyd, P.G., Moosavi, S.M., Witman, M., Smit, B.: Force-field prediction of materials properties in metal-organic frameworks. J. Phys. Chem. Lett. 8(2), 357–363 (2017). https://doi.org/10.1021/acs.jpclett.6b02532
Lin, L.C., Lee, K., Gagliardi, L., Neaton, J.B., Smit, B.: Force-field development from electronic structure calculations with periodic boundary conditions: applications to gaseous adsorption and transport in metal-organic frameworks. J. Chem. Theory Comput. 10(4), 1477–1488 (2014). https://doi.org/10.1021/ct500094w
Vekeman, J., García Cuesta, I., Faginas-Lago, N., Wilson, J., Sánchez-Marín, J., Sánchez de Merás, A.: Potential models for the simulation of methane adsorption on graphene: development and CCSD(T) benchmarks. Phys. Chem. Chem. Phys. 20(39), 25518–25530 (2018). https://doi.org/10.1039/C8CP03652G
Faginas-Lago, N., Apriliyanto, Y.B., Lombardi, A.: Carbon capture and separation from CO\(_2\)/N\(_2\)/H\(_2\)O gaseous mixtures in bilayer graphtriyne: a molecular dynamics study. In: Gervasi, O., et al. (eds.) ICCSA 2020. LNCS, vol. 12255, pp. 489–501. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-58820-5_36
de Aragão, E.V.F., Faginas-Lago, N., Apriliyanto, Y.B., Lombardi, A.: Gas adsorption on graphtriyne membrane: impact of the induction interaction term on the computational cost. In: Gervasi, O., et al. (eds.) ICCSA 2020. LNCS, vol. 12255, pp. 513–525. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-58820-5_38
Pirani, P., Brizi, S., Roncaratti, L., Casavecchia, P., Cappelletti, D., Vecchiocattivi, F.: Beyond the Lennard-Jones model: a simple and accurate potential function probed by high resolution scattering data useful for molecular dynamics simulations. Phys. Chem. Chem. Phys. 10, 5489–5503 (2008). https://doi.org/10.1039/B808524B
Lombardi, A., Laganà, A., Pirani, F., Palazzetti, F., Lago, N.F.: Carbon oxides in gas flows and earth and planetary atmospheres: state-to-state simulations of energy transfer and dissociation reactions. In: Murgante, B., et al. (eds.) ICCSA 2013. LNCS, vol. 7972, pp. 17–31. Springer, Heidelberg (2013). https://doi.org/10.1007/978-3-642-39643-4_2
Faginas-Lago, N., Albertí, M., Lombardi, A., Pirani, F.: A force field for acetone: the transition from small clusters to liquid phase investigated by molecular dynamics simulations. Theor. Chem. Acc. 135(7), 1–9 (2016). https://doi.org/10.1007/s00214-016-1914-9
Lombardi, A., Faginas-Lago, N., Gaia, G., Federico, P., Aquilanti, V.: Collisional energy exchange in CO\(_2\)–N\(_2\) gaseous mixtures. In: Gervasi, O., et al. (eds.) ICCSA 2016. LNCS, vol. 9786, pp. 246–257. Springer, Cham (2016). https://doi.org/10.1007/978-3-319-42085-1_19
Albertí, M., Faginas-Lago, N.: Ion size influence on the ar solvation shells of M\(^{+}\)C\(_{6}\)F\(_{6}\) clusters (M = Na, K, Rb, Cs). J. Phys. Chem. A 116(12), 3094–3102 (2012). https://doi.org/10.1021/jp300156k
Pirani, F., Albertí, M., Castro, A., Moix Teixidor, M., Cappelletti, D.: Atom-bond pairwise additive representation for intermolecular potential energy surfaces. Chem. Phys. Lett. 394(1–3), 37–44 (2004). https://doi.org/10.1016/j.cplett.2004.06.100
Pacifici, L., Verdicchio, M., Faginas-Lago, N., Lombardi, A., Costantini, A.: A high-level ab initio study of the N\(_2\) + N\(_2\) reaction channel. J. Comput. Chem. 34(31), 2668–2676 (2013). https://doi.org/10.1002/jcc.23415
Albertí, M., et al.: Small water clusters: the cases of rare gas-water, alkali ion-water and water dimer. In: Gervasi, O., Murgante, B., Laganà, A., Taniar, D., Mun, Y., Gavrilova, M.L. (eds.) ICCSA 2008. LNCS, vol. 5072, pp. 1026–1035. Springer, Heidelberg (2008). https://doi.org/10.1007/978-3-540-69839-5_78
Smith, W., Yong, C., Rodger, P.: DL\(\_\)POLY: application to molecular simulation. Mol. Simul. 28(5), 385–471 (2002)
Acknowledgements
N. F.-L and A. L. thank the MIUR and the University of Perugia for the financial support of the AMIS project through the “Dipartimenti di Eccellenza” program. N. F.-L also acknowledges the Fondo Ricerca di Base 2020 (RICBASE2020FAGINAS) del Dipartimento di Chimica, Biologia e Biotecnologie della Università di Perugia for financial support and the Herla Project for allocated computing time. A. L. acknowledges financial support from MIUR PRIN 2015 (contract 2015F59J3R 002).
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2021 Springer Nature Switzerland AG
About this paper
Cite this paper
Faginas-Lago, N., Apriliyanto, Y.B., Lombardi, A. (2021). Intermolecular Forces for the Interaction of H\(_{2}\)O–Graphtriyne Membrane: Contribution of Induction Effects. In: Gervasi, O., et al. Computational Science and Its Applications – ICCSA 2021. ICCSA 2021. Lecture Notes in Computer Science(), vol 12958. Springer, Cham. https://doi.org/10.1007/978-3-030-87016-4_32
Download citation
DOI: https://doi.org/10.1007/978-3-030-87016-4_32
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-87015-7
Online ISBN: 978-3-030-87016-4
eBook Packages: Computer ScienceComputer Science (R0)