MétaCan
Menu
← Back to cohort
Record W4391662702 · doi:10.1149/ma2023-022231mtgabs

Single-Crystal Li1+x[Ni0.6Mn0.4]1-xO2 Made By All-Dry Synthesis

2023· article· en· W4391662702 on OpenAlexaff
Matthew D. L. Garayt, Ning Zhang, Svena Yu, Jeffin James Abraham, Aidan Fagan-Murphy, Roee Omessi, Ziwei Ye, Saad Azam, Michel B. Johnson, Chongyin Yang, J. R. Dahn

Bibliographic record

VenueECS Meeting Abstracts · 2023
Typearticle
Languageen
FieldEngineering
TopicAdvancements in Battery Materials
Canadian institutionsDalhousie University
Fundersnot available
KeywordsMaterials scienceCrystal (programming language)CrystallographyChemistryComputer science

Abstract

fetched live from OpenAlex

Single-crystal LiMO2 (M = 3d transition metal such as Ni, Mn, Al, and Co) has received much attention as a positive electrode material over the last few years due to its superior cycling stability over conventional polycrystalline materials1. Moreover, Co has fallen out-of-favour as a transition metal of choice due to its relatively high cost2 and the human rights abuses associated with its mining3. As well, the synthesis of conventional LiMO2 materials requires complex co-precipitation equipment that not only increases the cost of manufacture, but also produces waste such as Na2SO4. Furthermore, coating W on the particles’ surface in a separate step after co-precipitation improves the electrochemical performance of these materials4. Therefore, Co-free, W coated, single-crystal LiMO2 materials, made in a simple synthesis process like LiNi0.6Mn0.4O2 (NM64) are of most interest. In this presentation, a simple, solvent- and waste-free synthesis method is shown to create NM64 materials with and without a W coating. This all-dry synthesis uses a mixture of metallic Ni, MnO2, LiOH·H2O, and an optional W precursor, along with two to three heating steps, and an agglomeration separation step to produce single-crystal NM64. The resulting material is R-3m phase pure with ≤4% Ni in the Li layer and contains only trace residual lithium. Additionally, the NM64’s grain size is between 2 to 5 µm, as shown in Fig. 1a), which can be tuned by the addition of W during the initial synthesis rather than with a separate coating step. While W inhibits grain growth during synthesis4, the Ni, Mn, and Li interdiffusion is largely unaffected according to the unit cell parameters and the Ni in the Li layer obtained from Rietveld refinement of their XRD patterns. Fig. 1b) illustrates that while NM64 materials without W retain 91% of their original capacity after 100 cycles at C/5, matching the vendor material, when W is added they outperform it with 93% retained capacity. It is believed that this incredibly simple process could be adopted relatively easily into current commercial positive electrode manufacturing facilities to reduce the complexity, cost, and time of manufacture. Figure 1. (a) shows SEM micrographs of the all-dry synthesized NM64 material without and with W. (b) shows half coin cell cycling of NM64 materials with and without W as compared to a vendor material. References J. Li et al., J Electrochem Soc, 164, A1534–A1544 (2017). Mining.com https://www.mining.com/markets/. J. P. Otamonga and J. W. Poté, J Geochem Explor, 208, 106394 (2020). D. Rathore et al., ACS Energy Lett, 7, 2189–2195 (2022). Figure 1

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.003
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.001

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 head0.022
GPT teacher head0.240
Teacher spread0.217 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2023
Admission routes1
Has abstractyes

Explore more

Same venueECS Meeting Abstracts→Same topicAdvancements in Battery Materials→French-language works237,207→