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Record W2346082472 · doi:10.1149/ma2016-03/2/412

Prussian Blue Mg-Li Hybrid Batteries

2016· article· en· W2346082472 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueECS Meeting Abstracts · 2016
Typearticle
Languageen
FieldEngineering
TopicAdvanced Battery Materials and Technologies
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsPrussian blueElectrolyteElectrodeElectrochemistryAnodeMaterials scienceChemistryInorganic chemistryChemical engineeringPhysical chemistry

Abstract

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Mg batteries have received attention as a potential candidate for energy storage. The main attraction relies on the use of a Mg negative electrode, which is inexpensive, safe to handle and store, and offers high volumetric energy density together with dendrite free deposition during electrochemistry processes. (1) However, sluggish Mg 2+ diffusion in most solid structures has hindered development of the positive electrode material, and thus the entire system. Nevertheless, this issue can be addressed by coupling the Mg negative electrode with a Li insertion positive electrode through a dual-salt electrolyte, so that the advantages of the Mg anode is preserved and facile monovalent cation diffusion in the positive electrode is accomplished. (2) In this presentation, we will discuss two Mg-Li hybrid batteries that employ Prussian Blue analogues (PBA) with different water contents – Fe[Fe(CN) 6 ] 0.95 ·2.3H 2 O (23-PBA) and Fe[Fe(CN) 6 ] 0.95 ·0.7H 2 O (07-PBA) – as the positive electrode materials in the all phenyl complex (APC) (3) + LiCl dual salt electrolyte ( Figure 1a ). The PBA was specifically chosen due to its open tunnels in the crystal structure that provide various ion pathways, as well as robust Fe-CN bonds which ensure a high resistance to chlorine corrosion due to the electrolyte. The materials were tested at a current density of 10 mA g -1 (~ C/10, 1C = 1e - /PBA f.u.), resulting in ~ 130 mAh g -1 specific capacities for both PBAs. Two well defined voltage plateaus were observed at 2.6/2.0 V (vs. Mg) for 23-PBA and 2.3/2.0 V for 07-PBA ( Figure 1b ), associated with the two distinct Fe cations bound to C and N, respectively. The higher voltage observed for 23-PBA resulted from the additional stability of the lithiated phase resulting from coordinating the inserted Li + with structural water. The ± 0.1 V voltage for metal stripping/plating on the Mg negative electrode ( Figure 1b inset) suggests that the reduction of Li + , which would typically commence at -0.7 V, did not occur. Coulombic efficiency of 99% up to 300 cycles for 07-PBA was observed, in contrast to the much poorer performance of 23-PBA ( Figure 1c ). The lower capacity retention of 23-PBA originated from its structural water which remained in the material during the first cycle but dissolved into the electrolyte upon prolong cycling, as proven by ex-situ FT-IR. The detailed Li + insertion mechanism was studied by in-situ XRD, where similar results were obtained for both materials. A decrease of cell parameter was observed on the higher voltage plateau, resulting from the additional electrons introduced to the Fe-C bonding orbital. At the beginning of the lower voltage plateau, phase separation occurred but the following charge illustrated the reversibility of the entire process that represents excellent reversibility of Li + de/intercalation into the structure. Even after prolonged cycling in the hybrid cell, a dendrite free surface was obtained on the Mg negative electrode, indicating a very different electrodeposition process is prevalent compared to that of Li metal. As such, the primary advantages of the Mg negative electrode are preserved. Thus, the Mg-Li hybrid system with a PBA positive electrode provides a new direction to explore “high voltage” Mg batteries. Other promising positive electrode Mg 2+ insertion materials will be also discussed in our presentation that do not rely on the hybrid concept. References: (1) H. D. Yoo, I. Shterenberg, Y. Gofer, G. Gershinsky, N. Pour and D. Aurbach, Energy Environ. Sci. 6 , 2265 (2013). (2) S. Yagi, T. Ichitsubo, Y. Shirai, S. Yanai, T. Doi, K. Murase and E. Matsubara, J. Mater. Chem. A 2 , 1144 (2014). (3) O. Mizrahi, N. Amir, E. Pollak, O. Chusid, V. Marks, H. Gottlieb, L. Larush, E. Zinigrad and D. Aurbach, J. Electrochem. Soc. 155 , A103 (2008). Figure 1

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Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.025
Threshold uncertainty score0.548

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.010
GPT teacher head0.207
Teacher spread0.198 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it