Evidence map›Paper›PMID 29904154›Full record

ArticleNature communications2018

Quantification and modeling of mechanical degradation in lithium-ion batteries based on nanoscale imaging.

Simon Müller, Patrick Pietsch, Ben-Elias Brandt, Paul Baade, Vincent De Andrade, Francesco De Carlo, Vanessa Wood

Abstract read
In one paragraph

Article in Nature communications, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Simon MüllerDepartment of Information Technology and Electrical Engineering, ETH, Zurich, 8092, Switzerland.
Patrick PietschDepartment of Information Technology and Electrical Engineering, ETH, Zurich, 8092, Switzerland.
Ben-Elias BrandtDepartment of Information Technology and Electrical Engineering, ETH, Zurich, 8092, Switzerland.
Paul BaadeDepartment of Information Technology and Electrical Engineering, ETH, Zurich, 8092, Switzerland.
Vincent De AndradeAdvanced Photon Source, Argonne National Laboratory, Lemont, 60439, USA.
Francesco De CarloAdvanced Photon Source, Argonne National Laboratory, Lemont, 60439, USA.
Vanessa WoodDepartment of Information Technology and Electrical Engineering, ETH, Zurich, 8092, Switzerland. vwood@ethz.ch.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Capacity fade in lithium-ion battery electrodes can result from a degradation mechanism in which the carbon black-binder network detaches from the active material. Here we present two approaches to visualize and quantify this detachment and use the experimental results to develop and validate a model that considers how the active particle size, the viscoelastic parameters of the composite electrode, the adhesion between the active particle and the carbon black-binder domain, and the solid electrolyte interphase growth rate impact detachment and capacity fade. Using carbon-silicon composite electrodes as a model system, we demonstrate X-ray nano-tomography and backscatter scanning electron microscopy with sufficient resolution and contrast to segment the pore space, active particles, and carbon black-binder domain and quantify delamination as a function of cycle number. The validated model is further used to discuss how detachment and capacity fade in high-capacity materials can be minimized through materials engineering.

Identifiers

PMID29904154
PMCPMC6002379

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.