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Record W7028193665

3D Printing Technology Applied in Lithium Metal Batteries: From Liquid to Solid.

2021· article· en· W7028193665 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.

fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueScholarship@Western (Western University) · 2021
Typearticle
Languageen
FieldMaterials Science
TopicQuasicrystal Structures and Properties
Canadian institutionsnot available
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsAnodeCathodeFaraday efficiencyEnergy storageBattery (electricity)ElectrolytePorosityElectrodeElectrochemistry
DOInot available

Abstract

fetched live from OpenAlex

Li-metal batteries are strongly considered to be one of the most promising candidates for high energy density energy storage devices in our modern society. However, the state-of-the-art Limetal batteries are still limited by several challenges including 1) low energy/power density; 2) Li dendrite growth; 3) low coulombic efficiency, and 4) safety concerns within the liquid electrolyte. This thesis mainly focuses on addressing these challenges by using a 3D printing technique to realize high energy/power density Li-metal batteries.\nA self-standing high areal energy density cathode for Li-S battery was developed by the 3D printing method in the first part. The optimized porosity and conductivity of cathode design from macroscale to the nanoscale are beneficial for Li+/e- transport in a thick electrode. This work offers a new strategy to fabricate high sulfur loading cathodes and improve the electrochemical performance of advanced Li-S batteries.\nHowever, Li+ transport is usually poor in thick cathodes, resulting in low capacity output, fast capacity decay, and large overpotential. To tackle the issue of thick sulfur cathodes, a thickness independent electrode structure is proposed in the second part which can transform a thick electrode into a combination of vertically aligned “thin electrodes”.\nApart from the cathode, Li anode also plays an important role in determining the Li-metal batteries performance. Herein, in the third part, a 3D-printed vertically aligned Li anode (3DP-VALi) is shown to efficiently guide Li deposition via a “nucleation within micro-channel walls” process, enabling a high-performance dendrite-free Li anode.\nIssues like leakage, flammability, and electrochemical instability of liquid electrolytes have triggered safety issues as well as restrictions on the practical application of Li-metal batteries. Herein, in the fourth part, an ultra-high-energy/power density quasi-solid-state Li-Se battery was realized by combining a 3D-printed carbon nanotube interlayer with a high Se-loading gel polymer electrolyte-filled cathodes.\nTo achieve a high energy density all-solid-state Li metal battery, a dual vertically aligned electrodes structure with well-controlled microscale features is proposed in the fifth part to promote the development of fast charging all-solid-state Li metal battery.\nIn summary, these five parts in this thesis provide an important guide to achieve a high energy density Li metal battery by a 3D printing technique

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.

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 categoriesMeta-epidemiology (narrow)
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 score0.034
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.001
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 head0.050
GPT teacher head0.284
Teacher spread0.234 · 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