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Identification of LiH and nanocrystalline LiF in the solid–electrolyte interphase of lithium metal anodes
Abstract
A comprehensive understanding of the solid-electrolyte interphase (SEI) composition is crucial to developing high-energy batteries based on lithium metal anodes. A particularly contentious issue concerns the presence of LiH in the SEI. Here we report on the use of synchrotron-based X-ray diffraction and pair distribution function analysis to identify and differentiate two elusive components, LiH and LiF, in the SEI of lithium metal anodes. LiH is identified as a component of the SEI in high abundance, and the possibility of its misidentification as LiF in the literature is discussed. LiF in the SEI is found to have different structural features from LiF in the bulk phase, including a larger lattice parameter and a smaller grain size ( + transport and explain why an ionic insulator, like LiF, has been found to be a favoured component for the SEI. Finally, pair distribution function analysis reveals key amorphous components in the SEI.
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“The relative contents of LiH, LiF and dead Li 0 in SEI are quantified, showing higher (LiF) sei and lower dead Li 0 contents in SEIs recovered from the HCE compared with their LCE counterparts.”
From Review on Low-Temperature Electrolytes for Lithium-Ion and Lithium Metal Batteries (2023) · cites this paper as [163]
In the citing paper
“PDF technique differentiated key amorphous components originated from the decomposition of solvents (no good components) or anion (good components), mostly SEI LiF sei .”
From Review on Low-Temperature Electrolytes for Lithium-Ion and Lithium Metal Batteries (2023) · cites this paper as [163]
In the citing paper
“High abundance of LiH was confirmed by XRD.”
From Review on Low-Temperature Electrolytes for Lithium-Ion and Lithium Metal Batteries (2023) · cites this paper as [163]
In the citing paper
“Differing from conventional bulk LiF, they discovered a new type of LiF differing from bulk LiF, and named it as SEI (LiF) sei , which has unique structural features including larger lattice parameter and smaller grain size (< 3 nm), and is favored for Li + transport.”
From Review on Low-Temperature Electrolytes for Lithium-Ion and Lithium Metal Batteries (2023) · cites this paper as [163]
Citations
Cites
Reviving the lithium metal anode for high-energy batteries
Lin, D., Liu, Y., & Cui, Y. (2017) · Nature Nanotechnology · doi:10.1038/nnano.2017.16 · Cited by 6,763
Atomic structure of sensitive battery materials and interfaces revealed by cryo–electron microscopy
Li, Y., Li, Y., Pei, A., Yan, K., Sun, Y., Wu, C.-L., Joubert, L.-M., Chin, R., Koh, A. L., Yu, Y., et al. (2017) · Science · doi:10.1126/science.aam6014 · Cited by 1,547
Identifying the components of the solid–electrolyte interphase in Li-ion batteries
Wang, L., Menakath, A., Han, F., Wang, Y., Zavalij, P. Y., Gaskell, K. J., Borodin, O., Iuga, D., Brown, S. P., Wang, C., et al. (2019) · Nature Chemistry · doi:10.1038/s41557-019-0304-z · Cited by 514
Self-citationWang, X., Zhang, M., Alvarado, J., Wang, S., Sina, M., Lu, B., Bouwer, J., Xu, W., Xiao, J., Zhang, J.-G., et al. (2017) · Nano Letters · doi:10.1021/acs.nanolett.7b03606 · Cited by 409
Self-citation
Research works printed but not linked: 36
- Whittingham, M. S. Ultimate limits to intercalation reactions for lithium batteries. Chem. Rev. 114, 11414–11443 (2014). · DOI
- Liu, J. et al. Pathways for practical high-energy long-cycling lithium metal batteries. Nat. Energy 4, 180–186 (2019). · DOI
- Aurbach, D. & Weissman, I. On the possibility of LiH formation on Li surfaces in wet electrolyte solutions. Electrochem. Commun. 1, 324–331 (1999). · DOI
- Xiao, J. How lithium dendrites form in liquid batteries. Science 366, 426–427 (2019). · DOI
- Liu, B., Zhang, J.-G. & Xu, W. Advancing lithium metal batteries. Joule 2, 833–845 (2018). · DOI
- Zachman, M. J., Tu, Z., Choudhury, S., Archer, L. A. & Kourkoutis, L. F. Cryo-STEM mapping of solid–liquid interfaces and dendrites in lithium-metal batteries. Nature 560, 345–349 (2018). · DOI
- Fang, C. et al. Quantifying inactive lithium in lithium metal batteries. Nature 572, 511–515 (2019). · DOI
- Cheng, X.-B. et al. A review of solid electrolyte interphases on lithium metal anode. Adv. Sci. 3, 1500213 (2016). · DOI
- Borodin, O. et al. Uncharted waters: super-concentrated electrolytes. Joule 4, 69–100 (2020). · DOI
- Wang, X. et al. Cryogenic electron microscopy for characterizing and diagnosing batteries. Joule 2, 2225–2234 (2018). · DOI
- Wood, K. N. et al. Operando X-ray photoelectron spectroscopy of solid electrolyte interphase formation and evolution in Li2S-P2S5 solid-state electrolytes. Nat. Commun. 9, 2490 (2018). · DOI
- Nandasiri, M. I. et al. In situ chemical imaging of solid-electrolyte interphase layer evolution in Li−S batteries. Chem. Mater. 29, 4728–4737 (2017). · DOI
- Wan, C. et al. Multinuclear NMR study of the solid electrolyte interface formed in lithium metal batteries. ACS Appl. Mater. Interfaces 9, 14741–14748 (2017). · DOI
- Ota, H., Sakata, Y., Wang, X., Sasahara, J. & Yasukawa, E. Characterization of lithium electrode in lithium imides/ethylene carbonate and cyclic ether electrolytes: II. surface chemistry. J. Electrochem. Soc. 151, A437–A446 (2004). · DOI
- Shen, C. et al. Direct observation of the growth of lithium dendrites on graphite anodes by operando EC-AFM. Small Methods 2, 1700298 (2018). · DOI
- Liu, T. et al. In situ quantification of interphasial chemistry in Li-ion battery. Nat. Nanotechnol. 14, 50–56 (2019). · DOI
- Sun, Y. & Ren, Y. In situ synchrotron X-ray techniques for real-time probing of colloidal nanoparticle synthesis. Part. Part. Syst. Charact. 30, 399–419 (2013). · DOI
- David, W. I. F. et al. A mechanism for non-stoichiometry in the lithium amide/lithium imide hydrogen storage reaction. J. Am. Chem. Soc. 129, 1594–1601 (2007). · DOI
- Zimmerman, W. B. Lattice-constant dependence on isotopic composition in the 7Li (H, D) system. Phys. Rev. B 5, 4704–4707 (1972). · DOI
- Tyutyunnik, O. I. et al. Lithium hydride single crystal growth by bridgman-stockbarger method using ultrasound. J. Cryst. Growth 68, 741–746 (1984). · DOI
- Srivastava, K.-K. & Merchant, H. D. Thermal expansion of alkali halides above 300°K. J. Phys. Chem. Solids 34, 2069–2073 (1973). · DOI
- Ben Yahia, H. et al. Synthesis and characterization of the crystal structure, the magnetic and the electrochemical properties of the new fluorophosphate LiNaFe[PO4]F. Dalton Trans. 41, 11692–11699 (2012). · DOI
- Dong, H. et al. Compression of lithium fluoride to 92 GPa. High Press. Res. 34, 39–48 (2014). · DOI
- Fukuhara, M. Lattice expansion of nanoscale compound particles. Phys. Lett. A 313, 427–430 (2003). · DOI
- Ahmad, M. I. & Bhattacharya, S. S. Size effect on the lattice parameters of nanocrystalline anatase. Appl. Phys. Lett. 95, 191906 (2009). · DOI
- Tsunekawa, S., Ishikawa, K., Li, Z. Q., Kawazoe, Y. & Kasuya, A. Origin of anomalous lattice expansion in oxide nanoparticles. Phys. Rev. Lett. 85, 3440–3443 (2000). · DOI
- Szczȩśniak, M. M. & Ratajczak, H. Ab initio calculations on the lithium fluoride–ethylene complex. J. Chem. Phys. 67, 5400–5401 (1977). · DOI
- Hahn, H. & Strick, G. Zur Mischkristallbildung zwischen Lithiumfluorid und Lithiumhydrid. Z. Anorg. Allg. Chem. 372, 248–251 (1970). · DOI
- Varotsos, P. A. & Mourikis, S. Difference in conductivity between LiD and LiH crystals. Phys. Rev. B 10, 5220–5224 (1974). · DOI
- Niu, C. et al. High-energy lithium metal pouch cells with limited anode swelling and long stable cycles. Nat. Energy 4, 551–559 (2019). · DOI
- Neuhaus, J., von Harbou, E. & Hasse, H. Physico-chemical properties of solutions of lithium bis(fluorosulfonyl)imide (LiFSI) in dimethyl carbonate, ethylene carbonate, and propylene carbonate. J. Power Sources 394, 148–159 (2018). · DOI
- Hammersley, A. P., Svensson, S. O., Hanfland, M., Fitch, A. N. & Hausermann, D. Two-dimensional detector software: from real detector to idealised image or two-theta scan. High Press. Res. 14, 235–248 (2006). · DOI
- Qiu, X., Thompson, J. W. & Billinge, S. J. L. PDFgetX2: a GUI-driven program to obtain the pair distribution function from X-ray powder diffraction data. J. Appl. Crystallogr. 37, 678 (2004). · DOI
- Blöchl, P. E. Projector augmented-wave method. Phys. Rev. B 50, 17953–17979 (1994). · DOI · Paper page
- Kresse, G. & Furthmüller, J. Efficiency of ab-initio total energy calculations for metals and semiconductors using a plane-wave basis set. Comput. Mater. Sci. 6, 15–50 (1996). · DOI
- Perdew, J. P., Burke, K. & Ernzerhof, M. Generalized gradient approximation made simple. Phys. Rev. Lett. 77, 3865–3868 (1996). · DOI · Paper page
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“For example, combined chemical analysis, cryogenic electron microscopy, and pair distribution function (PDF) acquired from a synchrotron revealed that the interphasial chemistry on Li is much more complicated than was once believed, with the exotic interphasial components such as glassy Li and lithium hydride still un…”
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Tian, Z., Zou, Y., Liu, G., Wang, Y., Yin, J. G., Ming, J., & Alshareef, H. N. (2022) · Advanced Science · doi:10.1002/advs.202201207 · Cited by 690
Emerging Era of Electrolyte Solvation Structure and Interfacial Model in Batteries
Cheng, H., Sun, Q., Li, L., Zou, Y., Wang, Y., Cai, T., Zhao, F., Liu, G., Ma, Z., Wahyudi, W., et al. (2022) · ACS Energy Letters · doi:10.1021/acsenergylett.1c02425 · Cited by 653
Solid electrolyte interphases in lithium metal batteries
Jagger, B., & Pasta, M. (2023) · Joule · doi:10.1016/j.joule.2023.08.007 · Cited by 505
Designing electrolytes and interphases for high-energy lithium batteries
Wan, H., Xu, F., & Wang, C. (2023) · Nature Reviews Chemistry · doi:10.1038/s41570-023-00557-z · Cited by 558
Self-citation
Metadata
- Authors
- Shadike, Z., Lee, H., Borodin, O., Cao, X., Fan, X., Wang, X., Lin, R., Bak, S.-M., Ghose, S., Xu, K., Wang, C., Liu, J., Xiao, J., Yang, X.-Q., & Hu, E.
- Affiliations
- Brookhaven National Laboratory (US)
- Pacific Northwest National Laboratory (US)
- DEVCOM Army Research Laboratory (US)
- University of Maryland, College Park (US)
- Corresponding author
- Xiao, Jie
- Yang, Xiao-Qing
- Hu, Enyuan
- ORCID
- Venue
- Nature Nanotechnology
- Published
- 2021-01-28
- Volume
- 16
- Issue
- 5
- Pages
- 549-554
- ISSN
- 1748-3387 (ISSN-L)
- 1748-3395
- OpenAlex
- W3124559210
- Cited by
- 320
- References
- 0
- Citations by year
- 2026: 42 · 2025: 54 · 2024: 66 · 2023: 77 · 2022: 55 · 2021: 26
- FWCI
- 16.47
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Nature Nanotechnology (publishedVersion)
- PubMed (publishedVersion)
- OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) (submittedVersion)
- Funders
- DOE | Office of Energy Efficiency & Renewable Energy | Vehicle Technologies Office (DE-SC0012704, DE-AC02-05CH11231)
- Topics
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Advanced Battery Materials and Technologies
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Advancements in Battery Materials
- Physical Sciences › Engineering › Automotive Engineering › Battery Modeling and Management
- Keywords
- solid electrolyte interphase, lithium metal anode, lithium hydride, lithium fluoride, SEI composition, Li+ transport, lattice parameters, grain size, Rietveld refinement, pair distribution function analysis
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