Abstract
This report describes the research conducted by use of the ForHLRI within the publicly funded project ’Kersolife100’, in which the long-term performance of a fully ceramic solid oxide fuel cell (SOFC) concept is investigated. The project aims at modeling and understanding the dominant degradation mechanisms in SOFCs so that the required lifetime of the SOFC-stacks can be ensured. One major cause of ageing is the unfavourable microstructural evolution of the nickel-based anode that occurs upon SOFC operation. The associated mechanisms are modeled by use of phase field methods within ’Kersolife100’. For a successful outcome, the availability of accurate material parameters is crucial, but until now not given. Complementary to experimental efforts, the ab-initio research activities of this year therefore focused on the determination of the relevant nickel surface and interface properties. By combining experimental and simulation results, a deeper understanding of the anode aging mechanism can be generated and the identification of counter measures can be guided. In this report, the current results of the ab-initio activities are summarized.
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References
P.E. Blöchl, Projector augmented-wave method. Phys. Rev. B 50, 17953–17979 (1994)
E.A. Clark, R. Yeske, H.K. Birnbaum, The effect of hydrogen on the surface energy of nickel. Metall. Trans. A 11(11), 1903–1908 (1980)
G.I. Csonka, J.P. Perdew, A. Ruzsinszky, P.H.T. Philipsen, S. Lebègue, J. Paier, O.A. Vydrov, J.G. Ángyán, Assessing the performance of recent density functionals for bulk solids. Phys. Rev. B 79, 155107 (2009)
S. De Waele, K. Lejaeghere, M. Sluydts, S. Cottenier, Error estimates for density-functional theory predictions of surface energy and work function. Phys. Rev. B 94, 235418 (2016)
R. Digilov, S. Zadumkin, V. Kumykov, K. Khokonov, Measurement of surface tension of refractory metals in solid state. Fiz. Met. Metalloved. 41, 979–982 (1976)
R.S. Elliott, This is a model driver for the morse pair potential shifted to zero energy at cutoff separation (2014), Online Accessed 07 Sept 2018
R.S. Elliott, This is a Ni morse model parameterization by girifalco and weizer using a high accuracy cutoff distance (2014) Online Accessed 07 Sept 2018
R.S. Elliott, EAM model driver with hermite cubic spline interpolation (2018) Online Accessed 28 Aug 2018
R.S. Elliott, E.B. Tadmor, Knowledgebase of interatomic models application programming interface (2011) Online; Accessed 28 Aug 2018
S.M. Foiles, M.I. Baskes, M.S. Daw, Embedded-atom-method functions for the fcc metals Cu, Ag, Au, Ni, Pd, Pt, and their alloys. Phys. Rev. B 33, 7983–7991 (1986)
S.M. Foiles, M.I. Baskes, M.S. Daw, Erratum: Embedded-atom-method functions for the fcc metals Cu, Ag, Au, Ni, Pd, Pt, and their alloys. Phys. Rev. B 37, 10378–10378 (1988)
L.A. Girifalco, V.G. Weizer, Application of the Morse potential function to cubic metals. Phys. Rev. 114, 687–690 (1959)
K.W. Jacobsen, P. Stoltze, J.K. Nørskov, A semi-empirical effective medium theory for metals and alloys. Surf. Sci. 366(2), 394–402 (1996)
G. Kresse, J. Furthmüller, Efficient iterative schemes for ab initio total-energy calculations using a plane-wave basis set. Phys. Rev. B 54, 11169–11186 (1996)
G. Kresse, J. Furthmller, Efficiency of ab-initio total energy calculations for metals and semiconductors using a plane-wave basis set. Comput. Mater. Sci. 6(1), 15–50 (1996)
G. Kresse, J. Hafner, Ab initio molecular dynamics for liquid metals. Phys. Rev. B 47, 558–561 (1993)
G. Kresse, J. Hafner, Ab initio molecular-dynamics simulation of the liquid-metal-amorphous-semiconductor transition in germanium. Phys. Rev. B 49, 14251–14269 (1994)
G. Kresse, D. Joubert, From ultrasoft pseudopotentials to the projector augmented-wave method. Phys. Rev. B 59, 1758–1775 (1999)
A.H. Larsen, J.J. Mortensen, J. Blomqvist, I.E. Castelli, R. Christensen, M. DuAĆak, J. Friis, M.N. Groves, B. Hammer, C. Hargus, E.D. Hermes, P.C. Jennings, P.B. Jensen, J. Kermode, J.R. Kitchin, E.L. Kolsbjerg, J. Kubal, K. Kaasbjerg, S. Lysgaard, J.B. Maronsson, T. Maxson, T. Olsen, L. Pastewka, A. Peterson, C. Rostgaard, J. Schiotz, O. Schaijtt, M. Strange, K.S. Thygesen, T. Vegge, L. Vilhelmsen, M. Walter, Z. Zeng, K.W. Jacobsen, The atomic simulation environment—a python library for working with atoms. J. Phys.: Condens. Matter 29(27), 273002 (2017)
P.S. Maiya, J.M. Blakely, Surface self a diffusion and surface energy of nickel. J. Appl. Phys. 38(2), 698–704 (1967)
M. Mendelev, M. Kramer, S. Hao, K. Ho, C. Wang, Development of interatomic potentials appropriate for simulation of liquid and glass properties of NiZr2 alloy. Phil. Mag. 92(35), 4454–4469 (2012)
M.I. Mendelev, Finnis-Sinclair potential for the Ni-Zr system developed by Mendelev et al. (2012) (2018) Online; Accessed 07 Sept2018
Y. Mishin, EAM Ni potential (2018) Online; Accessed 07 Sept 2018
Y. Mishin, D. Farkas, M.J. Mehl, D.A. Papaconstantopoulos, Interatomic potentials for monoatomic metals from experimental data and ab initio calculations. Phys. Rev. B 59, 3393–3407 (1999)
K. Momma, F. Izumi, VESTA3 for three-dimensional visualization of crystal, volumetric and morphology data. J. Appl. Crystallogr. 44(6), 1272–1276 (2011)
S.P. Ong, W.D. Richards, A. Jain, G. Hautier, M. Kocher, S. Cholia, D. Gunter, V.L. Chevrier, K.A. Persson, G. Ceder, Python materials genomics (pymatgen): A robust, open-source python library for materials analysis. Comput. Mater. Sci. 68, 314–319 (2013)
J.P. Perdew, K. Burke, M. Ernzerhof, Generalized Gradient Approximation Made Simple. Phys. Rev. Lett. 77(18), 3865–3868 (1996)
J.P. Perdew, K. Burke, M. Ernzerhof, Generalized Gradient approximation made simple [Phys. Rev. Lett. 77, 3865 (1996)]. Phys. Rev. Lett. 78(7), 1396–1396 (1997)
J.P. Perdew, A. Ruzsinszky, G.I. Csonka, O.A. Vydrov, G.E. Scuseria, L.A. Constantin, X. Zhou, K. Burke, Restoring the density-gradient expansion for exchange in solids and surfaces. Phys. Rev. Lett. 100, 136406 (2008)
G. Pizzi, A. Cepellotti, R. Sabatini, N. Marzari, B. Kozinsky, Aiida: automated interactive infrastructure and database for computational science. Comput. Mater. Sci. 111, 218–230 (2016)
S. Plimpton, Fast parallel algorithms for short-range molecular dynamics. J. Comput. Phys. 117(1), 1–19 (1995)
T. Roth, The surface and grain boundary energies of iron, cobalt and nickel. Mater. Sci. Eng. 18(2), 183–192 (1975)
M.D. Sangid, H. Sehitoglu, H.J. Maier, T. Niendorf, Grain boundary characterization and energetics of superalloys. Mater. Sci. Eng., A 527(26), 7115–7125 (2010)
D. Scheiber, R. Pippan, P. Puschnig, L. Romaner, Ab initiocalculations of grain boundaries in bcc metals. Modell. Simul. Mater. Sci. Eng. 24(3), 035013 (2016)
J. Schiotz, Effective medium theory as implemented in the ase/asap code (2015). Online; Accessed 07 Sept 2018
J. Schiotz, Standard effective medium theory potential for face-centered cubic metals as implemented in ase/asap (2015) Online; Accessed 07 Sept 2018
D.R. Stickle, J.P. Hirth, G. Meyrick, R. Speiser, A new technique for measuring the effects of oxygen activity on surface energies: Application to nickel. Metall. Trans. A 7(1), 71–74 (1976)
E.B. Tadmor, R.S. Elliott, J.P. Sethna, R.E. Miller, C.A. Becker, The potential of atomistic simulations and the Knowledgebase of Interatomic Models. JOM 63(7), 17–77 (2011)
A. Tehranchi, A modification of the angelo et al. ni-h potential which enhances the binding energies of h atoms to the gbs in nickel (2018) Online; Accessed 28 Aug 2018
R. Tran, Z. Xu, B. Radhakrishnan, D. Winston, W. Sun, K.A. Persson, S.P. Ong, Surface energies of elemental crystals. Sci. Data 3 (2016)
W. Tyson, W. Miller, Surface free energies of solid metals: Estimation from liquid surface tension measurements. Surf. Sci. 62(1), 267–276 (1977)
L. Vitos, A. Ruban, H. Skriver, J. Kollar, The surface energy of metals. Surf. Sci. 411(1), 186–202 (1998)
Acknowledgements
This work was performed on the computational resource ForHLR I funded by the Ministry of Science, Research and the Arts Baden-Württemberg and DFG (“Deutsche Forschungsgemeinschaft”) and conducted within the project “Kersolife100”, funded by the Federal Ministry for Economic Affairs and Energy (03ET6101A).
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Marusczyk, A., Ramakers, S., Kappeler, M., Haremski, P., Wieler, M., Lupetin, P. (2021). Atomistic Simulation of Nickel Surface and Interface Properties. In: Nagel, W.E., Kröner, D.H., Resch, M.M. (eds) High Performance Computing in Science and Engineering '19. Springer, Cham. https://doi.org/10.1007/978-3-030-66792-4_13
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