A Solid-State Single-Ion Conductor for Lithium Batteries Based on Anionic Nanoparticles of Fluorinated Titania
Bibliographic record
Abstract
Nowadays, among the most challenging classes of materials for the development of high-energy density lithium batteries are electrolytes and high-capacity cathode materials [1]. A considerable interest is attracted by metallic lithium anode-based Li-S and Li-air batteries because of their high specific capacity [2]. Nevertheless, the use of a metallic lithium anode compromises the chemical and electrochemical stability of the electrolyte. To address these drawbacks, a significant research effort is recently devoted to the design and preparation of new lithium-conducting electrolytes. Here, a new concept of electrolyte based on a solid-state lithium single-ion conductor is proposed, which opens new perspectives in the development of advanced lithium batteries [3]. The electrolyte is obtained by direct reaction of nanometric fluorinated TiO2 (FT) with molten metallic lithium, and consists of nanoparticles (NPs) with surface anionic groups neutralized by lithium cations. The resulting nanopowder is labelled LiFT® [4]. It should be highlighted that after functionalization, the conductivity of fluorinated TiO2 increases by more than four orders of magnitude. In this work, the structure of LiFT is elucidated by means of several techniques such as: Inductively-Coupled Plasma Atomic Emission Spectroscopy (ICP-AES); High-Resolution Transmission Electron Microscopy (HR-TEM), powder X-Ray Diffraction (XRD), Infrared Spectroscopy (FT-MIR and -FIR), electrochemical measurements and solid-state Magic-Angle Spinning-NMR (MAS-NMR) spectroscopy. XRD and HR-TEM measurements show that LiFT has the “core” structure of anatase, with Li cations present only in the external lithium-rich shell of NPs. Thus, no intercalation processes of Li+ in “core” LiFT NPs take place. In addition, it is demonstrated that lithium cations can migrate through grain boundaries of electrolyte NPs in a very effective way, achieving: 1) a room-temperature single-ion conductivity of about 3x10-4 Scm-1; 2) an excellent electrochemical stability; and 3) a high exchange current density. All these features, together with an easy synthesis process, which is based on precursors obtained from very cheap starting materials, make LiFT a very attractive material for application in several fields such as: a) all-solid-state lithium batteries; b) molten electrode lithium batteries; c) nanocomposite electrolytes and d) lithium-air batteries. [1] M. Armand, J.-M. Tarascon, Building better batteries, Nature. 451 (2008) 652–657. [2] P.G. Bruce, S.A. Freunberger, L.J. Hardwick, J.-M. Tarascon, Li-O2 and Li-S batteries with high energy storage., Nat. Mater. 11 (2012) 19–29. [3] F. Bertasi, K. Vezzù, E. Negro, S. Greenbaum, V. Di Noto, Single-ion-conducting nanocomposite polymer electrolytes based on PEG400 and anionic nanoparticles: Part 1. Synthesis, structure and properties, Int. J. Hydrogen Energy. (2013). [4] V. Di Noto, F. Bertasi, E. Negro, M. Piga, M. Bettiol, F. Bassetto, Solid-state electrolytes based on fluorine-doped oxides, PCT/IB2012/053542, 2013.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".