Abstract
For ion transport in network glasses, it is a great challenge to predict conductivities specifically based on structural properties. To this end it is necessary to gain an understanding of the energy landscape where the thermally activated hopping motion of the ions takes place. For alkali borophosphate glasses, a statistical mechanical approach was suggested to predict essential characteristics of the distribution of energies at the residence sites of the mobile alkali ions. The corresponding distribution of site energies was derived from the chemical units forming the glassy network. A hopping model based on the site energy landscape allowed to model the change of conductivity activation energies with the borate to phosphate mixing ratio. Here we refine and extend this general approach to cope with minimal local activation barriers and to calculate dc-conductivities without the need of performing extensive Monte-Carlo simulations. This calculation relies on the mapping of the many-body ion dynamics onto a network of local conductances derived from the elementary jump rates of the mobile ions. Application of the theoretical modelling to three series of alkali borophosphate glasses with the compositions 0.33Li2O–0.67[xB2O3–(1 − x)P2O5], 0.35Na2O–0.65[xB2O3–(1 − x)P2O5] and 0.4Na2O–0.6[xB2O3–(1 − x)P2O5] shows good agreement with experimental data.
Funding source: Deutsche Forschungsgemeinschaft
Award Identifier / Grant number: 428906592
Acknowledgement
We sincerely thank the members of the DFG Research Unit FOR 5065 for fruitful discussions.
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Author contributions: All the authors have accepted responsibility for the entire content of this submitted manuscript and approved submission.
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Research funding: This work has been funded by the Deutsche Forschungsgemeinschaft (DFG, Project No. 428906592).
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Conflict of interest statement: The authors declare no conflicts of interest regarding this article.
References
1. Fergus, J. W. Sensing mechanism of non-equilibrium solid-electrolyte-based chemical sensors. J. Solid State Electrochem. 2011, 15, 971–984; https://doi.org/10.1007/s10008-010-1046-4.Suche in Google Scholar
2. Yoo, S. J., Lim, J. W., Sung, Y.-E. Improved electrochromic devices with an inorganic solid electrolyte protective layer. Sol. Energy Mater. Sol. Cells 2006, 90, 477–484; https://doi.org/10.1016/j.solmat.2005.04.033.Suche in Google Scholar
3. Tervonen, A., Honkanen, S. K., West, B. R. Ion-exchanged glass waveguide technology: a review. Opt. Eng. 2011, 50, 1–16.10.1117/1.3559213Suche in Google Scholar
4. Samui, A., Sivaraman, P. Polymer electrolytes. In Woodhead Publishing Series in Electronic and Optical Materials; Sequeira, C., Santos, D., Eds. Woodhead Publishing: Sawston, UK, 2010; Chapter 11, pp. 431–470.Suche in Google Scholar
5. Kim, J. G., Son, B., Mukherjee, S., Schuppert, N., Bates, A., Kwon, O., Choi, M. J., Chung, H. Y., Park, S. A review of lithium and nonlithium based solid state batteries. J. Power Sources 2015, 282, 299–322; https://doi.org/10.1016/j.jpowsour.2015.02.054.Suche in Google Scholar
6. Koettgen, J., Grieshammer, S., Hein, P., Grope, B. O. H., Nakayama, M., Martin, M. Understanding the ionic conductivity maximum in doped ceria: trapping and blocking. Phys. Chem. Chem. Phys. 2018, 20, 14291–14321; https://doi.org/10.1039/c7cp08535d.Suche in Google Scholar
7. Meyer, M., Jaenisch, V., Maass, P., Bunde, A. Mixed alkali effect in crystals of β- and β″-alumina structure. Phys. Rev. Lett. 1996, 76, 2338–2341; https://doi.org/10.1103/physrevlett.76.2338.Suche in Google Scholar
8. Dyre, J. C., Maass, P., Roling, B., Sidebottom, D. L. Fundamental questions relating to ion conduction in disordered solids. Rep. Prog. Phys. 2009, 72, 046501; https://doi.org/10.1088/0034-4885/72/4/046501.Suche in Google Scholar
9. Maass, P. Towards a theory for the mixed alkali effect in glasses. J. Non-Cryst. Solids 1999, 255, 35–46; https://doi.org/10.1016/s0022-3093(99)00422-6.Suche in Google Scholar
10. Hunt, A. G. Mixed-alkali effect: some new results. J. Non-Cryst. Solids 1999, 255, 47–55; https://doi.org/10.1016/s0022-3093(99)00423-8.Suche in Google Scholar
11. Maass, P., Meyer, M., Bunde, A., Dieterich, W. Microscopic explanation of the non-Arrhenius conductivity in glassy fast ionic conductors. Phys. Rev. Lett. 1996, 77, 1528–1531; https://doi.org/10.1103/physrevlett.77.1528.Suche in Google Scholar PubMed
12. Baranovskii, S. D., Cordes, H. On the conduction mechanism in ionic glasses. J. Chem. Phys. 1999, 111, 7546–7557; https://doi.org/10.1063/1.480081.Suche in Google Scholar
13. Dyre, J. C., Schrøder, T. B. Universality of ac conduction in disordered solids. Rev. Mod. Phys. 2000, 72, 873–892; https://doi.org/10.1103/revmodphys.72.873.Suche in Google Scholar
14. Porto, M., Maass, P., Meyer, M., Bunde, A., Dieterich, W. Hopping transport in the presence of site-energy disorder: temperature and concentration scaling of conductivity spectra. Phys. Rev. B 2000, 61, 6057–6062; https://doi.org/10.1103/physrevb.61.6057.Suche in Google Scholar
15. Dieterich, W., Maass, P. Non-Debye relaxations in disordered ionic solids. Chem. Phys. 2002, 284, 439–467; https://doi.org/10.1016/s0301-0104(02)00673-0.Suche in Google Scholar
16. Habasaki, J., Hiwatari, Y. Molecular dynamics study of the mechanism of ion transport in lithium silicate glasses: characteristics of the potential energy surface and structures. Phys. Rev. B 2004, 69, 144207; https://doi.org/10.1103/physrevb.69.144207.Suche in Google Scholar
17. Lammert, H., Banhatti, R. D., Heuer, A. The cationic energy landscape in alkali silicate glasses: properties and relevance. J. Chem. Phys. 2009, 131, 224708; https://doi.org/10.1063/1.3272273.Suche in Google Scholar PubMed
18. Vogel, M. Identification of lithium sites in a model of LiPO3 glass: effects of the local structure and energy landscape on ionic jump dynamics. Phys. Rev. B 2004, 70, 094302; https://doi.org/10.1103/physrevb.70.139902.Suche in Google Scholar
19. Adams, S., Swenson, J. Determining ionic conductivity from structural models of fast ionic conductors. Phys. Rev. Lett. 2000, 84, 4144–4147; https://doi.org/10.1103/physrevlett.84.4144.Suche in Google Scholar PubMed
20. Adams, S., Swenson, J. Bond valence analysis of reverse Monte Carlo produced structural models; a way to understand ion conduction in glasses. J. Phys. Condens. Matter 2005, 17, S87–S101; https://doi.org/10.1088/0953-8984/17/5/010.Suche in Google Scholar
21. Müller, C., Zienicke, E., Adams, S., Habasaki, J., Maass, P. Comparison of ion sites and diffusion paths in glasses obtained by molecular dynamics simulations and bond valence analysis. Phys. Rev. B 2007, 75, 014203.10.1103/PhysRevB.75.014203Suche in Google Scholar
22. Karlsson, M., Schuch, M., Christensen, R., Maass, P., Martin, S. W., Imberti, S., Matic, A. Structural origin of the mixed glass former effect in sodium borophosphate glasses investigated with neutron diffraction and reverse Monte Carlo modeling. J. Phys. Chem. C 2015, 119, 27275–27284; https://doi.org/10.1021/acs.jpcc.5b09176.Suche in Google Scholar
23. Schuch, M., Christensen, R., Trott, C., Maass, P., Martin, S. W. Investigation of the structures of sodium borophosphate glasses by reverse Monte Carlo modeling to examine the origins of the mixed glass former effect. J. Phys. Chem. C 2012, 116, 1503–1511; https://doi.org/10.1021/jp2085654.Suche in Google Scholar
24. Adams, S., Swenson, J. Bond valence analysis of transport pathways in RMC models of fast ion conducting glasses. Phys. Chem. Chem. Phys. 2002, 4, 3179–3184; https://doi.org/10.1039/b111310k.Suche in Google Scholar
25. Schuch, M., Trott, C., Maass, P. Network forming units in alkali borate and borophosphate glasses and the mixed glass former effect. RSC Adv. 2011, 1, 1370–1382; https://doi.org/10.1039/c1ra00583a.Suche in Google Scholar
26. Silver, A. H., Bray, P. J. Nuclear magnetic resonance absorption in glass. I. Nuclear quadrupole effects in boron oxide, soda-boric oxide, and borosilicate glasses. J. Chem. Phys. 1958, 29, 984–990; https://doi.org/10.1063/1.1744697.Suche in Google Scholar
27. Eckert, H. Spying with spins on messy materials: 60 years of glass structure elucidation by NMR spectroscopy. Int. J. Appl. Glass Sci. 2018, 9, 167–187; https://doi.org/10.1111/ijag.12333.Suche in Google Scholar
28. Youngman, R. NMR spectroscopy in glass science: a review of the elements. Materials 2018, 11, 476; https://doi.org/10.3390/ma11040476.Suche in Google Scholar PubMed PubMed Central
29. Bosi, M., Fischer, J., Maass, P. Network-forming units, energy landscapes, and conductivity activation energies in alkali borophosphate glasses: analytical approaches. J. Phys. Chem. C 2021, 125, 6260–6268; https://doi.org/10.1021/acs.jpcc.0c09960.Suche in Google Scholar
30. Ambegaokar, V., Halperin, B. I., Langer, J. S. Hopping conductivity in disordered systems. Phys. Rev. B 1971, 4, 2612–2620; https://doi.org/10.1103/physrevb.4.2612.Suche in Google Scholar
31. Dörfler, F., Bullo, F. Kron reduction of graphs with applications to electrical networks. IEEE Trans. Circuits Syst. I Regul. Pap. 2013, 60, 150–163.10.1109/TCSI.2012.2215780Suche in Google Scholar
32. Zielniok, D., Cramer, C., Eckert, H. Structure property correlations in ion-conducting mixed-network former glasses: solid-state NMR studies of the system Na2O–B2O3–P2O5. Chem. Mater. 2007, 19, 3162–3170; https://doi.org/10.1021/cm0628092.Suche in Google Scholar
33. Rinke, M. T., Eckert, H. The mixed network former effect in glasses: solid state NMR and XPS structural studies of the glass system (Na2O)x(BPO4)1−x. Phys. Chem. Chem. Phys. 2011, 13, 6552–6565; https://doi.org/10.1039/c0cp01590c.Suche in Google Scholar PubMed
34. Larink, D., Eckert, H., Reichert, M., Martin, S. W. Mixed network former effect in ion-conducting alkali borophosphate glasses: structure/property correlations in the system [M2O]1/3[(B2O3)x (P2O5)1−x]2/3 (M = Li, K, Cs). J. Phys. Chem. C 2012, 116, 26162–26176; https://doi.org/10.1021/jp307085t.Suche in Google Scholar
35. Peibst, R., Schott, S., Maass, P. Internal friction and vulnerability of mixed alkali glasses. Phys. Rev. Lett. 2005, 95, 115901; https://doi.org/10.1103/physrevlett.95.115901.Suche in Google Scholar
36. Maass, P., Peibst, R. Ion diffusion and mechanical losses in mixed alkali glasses. J. Non-Cryst. Solids 2006, 352, 5178–5187; https://doi.org/10.1016/j.jnoncrysol.2005.12.061.Suche in Google Scholar
37. Metropolis, N., Rosenbluth, A. W., Rosenbluth, M. N., Teller, A. H., Teller, E. Equation of state calculations by fast computing machines. J. Chem. Phys. 1953, 21, 1087–1092; https://doi.org/10.1063/1.1699114.Suche in Google Scholar
38. Hoshen, J., Kopelman, R. Percolation and cluster distribution. I. Cluster multiple labeling technique and critical concentration algorithm. Phys. Rev. B 1976, 14, 3438–3445; https://doi.org/10.1103/physrevb.14.3438.Suche in Google Scholar
39. Storek, M., Böhmer, R., Martin, S. W., Larink, D., Eckert, H. NMR and conductivity studies of the mixed glass former effect in lithium borophosphate glasses. J. Chem. Phys. 2012, 137, 124507; https://doi.org/10.1063/1.4754664.Suche in Google Scholar PubMed
40. Christensen, R., Olson, G., Martin, S. W. Ionic conductivity of mixed glass former 0.35Na2O + 0.65[xB2O3 + (1 − x)P2O5] glasses. J. Phys. Chem. B 2013, 117, 16577–16586; https://doi.org/10.1021/jp409497z.Suche in Google Scholar PubMed
41. Pollak, M. Effect of carrier–carrier interactions on some transport properties in disordered semiconductors. Discuss. Faraday Soc. 1970, 50, 13–19; https://doi.org/10.1039/df9705000013.Suche in Google Scholar
42. Efros, A. L., Shklovskii, B. I. Coulomb gap and low temperature conductivity of disordered systems. J. Phys. C Solid State Phys. 1975, 8, L49–L51; https://doi.org/10.1088/0022-3719/8/4/003.Suche in Google Scholar
43. Möbius, A., Richter, M., Drittler, B. Coulomb gap in two- and three-dimensional systems: simulation results for large samples. Phys. Rev. B 1992, 45, 11568–11579.10.1103/PhysRevB.45.11568Suche in Google Scholar
44. Müller, M., Pankov, S. Mean-field theory for the three-dimensional Coulomb glass. Phys. Rev. B 2007, 75, 144201.10.1103/PhysRevB.75.144201Suche in Google Scholar
45. Heitjans, P., Indris, S., Wilkening, M. Solid-state diffusion and NMR. Diffus. Fund. 2005, 2, 45.Suche in Google Scholar
46. Vinod Chandran, C., Heitjans, P. In Annual Reports on NMR Spectroscopy; Webb, G. A., Ed. Academic Press: Cambridge, Massachusetts, USA, Vol. 89, 2016; pp 1–102.10.1016/bs.arnmr.2016.03.001Suche in Google Scholar
47. Rinn, B., Dieterich, W., Maass, P. Stochastic modelling of ion dynamics in complex systems: dipolar effects. Philos. Mag. B 1998, 77, 1283–1292; https://doi.org/10.1080/13642819808205021.Suche in Google Scholar
48. Schäfer, M., Weitzel, K.-M. Site energy distribution of ions in the potential energy landscape of amorphous solids. Mater. Today Phys. 2018, 5, 12–19.10.1016/j.mtphys.2018.05.002Suche in Google Scholar
49. Schäfer, M., Budina, D., Weitzel, K.-M. Site energy distribution of sodium ions in a sodium rubidium borate glass. Phys. Chem. Chem. Phys. 2019, 21, 26251–26261.10.1039/C9CP05194ESuche in Google Scholar
50. Weitzel, K.-M. Charge attachment-induced transport – toward new paradigms in solid state electrochemistry. Curr. Opin. Electrochem. 2021, 26, 100672; https://doi.org/10.1016/j.coelec.2020.100672.Suche in Google Scholar
© 2021 Walter de Gruyter GmbH, Berlin/Boston
Artikel in diesem Heft
- Frontmatter
- Preface
- Special issue on the occasion of the 75th birthday of Paul Heitjans
- Contribution to Special Issue dedicated to Paul Heitjans
- Unusual cation coordination in nanostructured mullites
- A novel high entropy spinel-type aluminate MAl2O4 (M = Zn, Mg, Cu, Co) and its lithiated oxyfluoride and oxychloride derivatives prepared by one-step mechanosynthesis
- Two new quaternary copper bismuth sulfide halides: CuBi2S3Cl and CuBi2S3Br as candidates for copper ion conductivity
- Sintering behavior and ionic conductivity of Li1.5Al0.5Ti1.5(PO4)3 synthesized with different precursors
- Status and progress of ion-implanted βNMR at TRIUMF
- How Li diffusion in spinel Li[Ni1/2Mn3/2]O4 is seen with μ ±SR
- Nuclear magnetic resonance (NMR) studies of sintering effects on the lithium ion dynamics in Li1.5Al0.5Ti1.5(PO4)3
- Anion reorientations and cation diffusion in a carbon-substituted sodium nido-borate Na-7,9-C2B9H12: 1H and 23Na NMR studies
- Site preferences and ion dynamics in lithium chalcohalide solid solutions with argyrodite structure: I. A multinuclear solid state NMR study of the system Li6PS5-xSexI and of Li6AsS5I
- Site preferences and ion dynamics in lithium chalcohalide solid solutions with argyrodite structure: II. Multinuclear solid state NMR of the systems Li6PS5−x Se x Cl and Li6PS5−x Se x Br
- Independent component analysis combined with Laplace inversion of spectrally resolved spin-alignment echo/T 1 3D 7Li NMR of superionic Li10GeP2S12
- How the cation size impacts on the relaxational and diffusional dynamics of supercooled butylammonium-based ionic liquids: DPEBA–TFSI versus BTMA–TFSI
- Solid-state NMR studies of non-ionic surfactants confined in mesoporous silica
- Inorganic-organic hybrid materials based on the intercalation of radical cations: 2-(4-N-methylpyridinium)-4,4,5,5-tetramethyl-4,5-dihydro-1H-imidazol-1-oxyl-3-N-oxide in fluoromica clay
- Lithium tracer diffusion in near stoichiometric LiNi0.5Mn1.5O4 cathode material for lithium-ion batteries
- On the CaF2-BaF2 interface
- The ionic conductivity of alkali aluminum germanium phosphate glasses – comparison of Plasma CAIT with two electrode DC measurements
- Thin-film chemical expansion of ceria based solid solutions: laser vibrometry study
- Predicting conductivities of alkali borophosphate glasses based on site energy distributions derived from network former unit concentrations
- Ionic transport in K2Ti6O13
- F anion transport in nanocrystalline SmF3 and in mechanosynthesized, vacancy-rich Sm1—x BaxF3—x
- An overview of thermotransport in fluorite-related ionic oxides
Artikel in diesem Heft
- Frontmatter
- Preface
- Special issue on the occasion of the 75th birthday of Paul Heitjans
- Contribution to Special Issue dedicated to Paul Heitjans
- Unusual cation coordination in nanostructured mullites
- A novel high entropy spinel-type aluminate MAl2O4 (M = Zn, Mg, Cu, Co) and its lithiated oxyfluoride and oxychloride derivatives prepared by one-step mechanosynthesis
- Two new quaternary copper bismuth sulfide halides: CuBi2S3Cl and CuBi2S3Br as candidates for copper ion conductivity
- Sintering behavior and ionic conductivity of Li1.5Al0.5Ti1.5(PO4)3 synthesized with different precursors
- Status and progress of ion-implanted βNMR at TRIUMF
- How Li diffusion in spinel Li[Ni1/2Mn3/2]O4 is seen with μ ±SR
- Nuclear magnetic resonance (NMR) studies of sintering effects on the lithium ion dynamics in Li1.5Al0.5Ti1.5(PO4)3
- Anion reorientations and cation diffusion in a carbon-substituted sodium nido-borate Na-7,9-C2B9H12: 1H and 23Na NMR studies
- Site preferences and ion dynamics in lithium chalcohalide solid solutions with argyrodite structure: I. A multinuclear solid state NMR study of the system Li6PS5-xSexI and of Li6AsS5I
- Site preferences and ion dynamics in lithium chalcohalide solid solutions with argyrodite structure: II. Multinuclear solid state NMR of the systems Li6PS5−x Se x Cl and Li6PS5−x Se x Br
- Independent component analysis combined with Laplace inversion of spectrally resolved spin-alignment echo/T 1 3D 7Li NMR of superionic Li10GeP2S12
- How the cation size impacts on the relaxational and diffusional dynamics of supercooled butylammonium-based ionic liquids: DPEBA–TFSI versus BTMA–TFSI
- Solid-state NMR studies of non-ionic surfactants confined in mesoporous silica
- Inorganic-organic hybrid materials based on the intercalation of radical cations: 2-(4-N-methylpyridinium)-4,4,5,5-tetramethyl-4,5-dihydro-1H-imidazol-1-oxyl-3-N-oxide in fluoromica clay
- Lithium tracer diffusion in near stoichiometric LiNi0.5Mn1.5O4 cathode material for lithium-ion batteries
- On the CaF2-BaF2 interface
- The ionic conductivity of alkali aluminum germanium phosphate glasses – comparison of Plasma CAIT with two electrode DC measurements
- Thin-film chemical expansion of ceria based solid solutions: laser vibrometry study
- Predicting conductivities of alkali borophosphate glasses based on site energy distributions derived from network former unit concentrations
- Ionic transport in K2Ti6O13
- F anion transport in nanocrystalline SmF3 and in mechanosynthesized, vacancy-rich Sm1—x BaxF3—x
- An overview of thermotransport in fluorite-related ionic oxides