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Al-M (M=Cr, Fe, Mn, Ni) Thin-Film Negative Electrode Materials
Open accessAbstract
Comprehensive investigations of thin-film Al-M negative electrode material libraries were performed using combinatorial and high-throughput techniques. Mössbauer effect spectroscopy and X-ray diffraction were used to characterize library structure. The electrochemical performance of over 200 compositions of was determined at both room and elevated temperature. All alloys are completely inactive above 15 atom % M. Thermodynamic calculations based on the macroscopic atom model of de Boer et al. predict compositions with at least 33–65 atom % M to be inactive. A phenomenological model to describe the observed capacity as a function of transition metal content and cycling temperature is presented.
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Minor additions of Mn and Si into the aluminum matrix induce nanometer-sized precipitates within the aluminum matrix, and this dense grain boundary network effectively mitigates accumulated stress during lithiation/delithiation.
“It has been reported that minor additions of Mn and Si into the aluminum matrix induce nanometer-sized precipitates within the aluminum matrix. This dense grain boundary network effectively mitigates the accumulated stress during lithiation/delithiation processes [28].”
From Solid-State Diffusion Bonding of Aluminum to Copper for Bimetallic Anode Fabrication (2024) · cites this paper as [28]
The Conclusions report isolated and clustered transition-metal sites at low loadings in Al-M films, including Al-Mn. They do not establish that adding both Mn and Si forms nanometer-sized precipitates. The discussion on p. A487 addresses electrochemical activity at grain boundaries, not a dense boundary network that mitigates stress during cycling. (LLM, conf=0.82)
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Research works printed but not linked: 28
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Cited by
Sorted by citations
Solid-State Diffusion Bonding of Aluminum to Copper for Bimetallic Anode Fabrication
de Prado, J., Børresen, B. T., Utrilla, V., & Ureña, A. (2024) · Materials · doi:10.3390/ma17215333 · Cited by 6
Metadata
- Authors
- Fleischauer, M. D., Obrovac, M. N., McGraw, J. D., Dunlap, R. A., Topple, J. M., & Dahn, J. R.
- Affiliations
- Dalhousie University (CA)
- 3M (United States) (US)
- Queen's University (CA)
- Venue
- Journal of The Electrochemical Society
- Publisher
- The Electrochemical Society
- Published
- 2006
- Volume
- 153
- Issue
- 3
- Pages
- A484
- ISSN
- 0013-4651 (ISSN-L)
- OpenAlex
- W2072396245
- Cited by
- 46
- References
- 0
- Citations by year
- 2025: 2 · 2024: 1 · 2021: 1 · 2020: 3 · 2019: 1 · 2018: 1 · 2017: 3 · 2015: 1 · 2014: 2 · 2013: 3 · 2012: 2
- FWCI
- 5.73
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Journal of The Electrochemical Society (publishedVersion)
- Funders
- 3M
- Dalhousie University
- Killam Trusts
- Natural Sciences and Engineering Research Council of Canada
- Topics
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Advancements in Battery Materials
- Physical Sciences › Materials Science › Materials Chemistry › Machine Learning in Materials Science
- Physical Sciences › Materials Science › Materials Chemistry › Hydrogen Storage and Materials
- Keywords
- lithium-ion batteries, elevated temperature cycling, capacity fade, combinatorial libraries, high-throughput materials screening, thermodynamic calculation
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