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Cited by 175

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Methods and Protocols for Electrochemical Energy Storage Materials Research

Talaie, Elahe, Bonnick, Patrick, Sun, Xiaoqi, Pang, Quan, Liang, Xiao, Nazar, Linda F.·2017·Chemistry of Materials

Abstract

We present an overview of the procedures and methods to prepare and evaluate materials for electrochemical cells in battery research in our laboratory, including cell fabrication, two- and three-electrode cell studies, and methodology for evaluating diffusion coefficients and impedance measurements. Informative characterization techniques employed to assess new materials for batteries are also described, including operando XRD, pair-distribution function analysis, X-ray photoelectron spectroscopy, and operando X-ray absorption spectroscopy. Examples of insightful information that each technique has provided in the research areas of Li-S, Na-ion, and Mg batteries are presented along with excellent references for detailed descriptions of the theory, experimental procedures, and various designs, as well as methods for data processing and analysis.

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Crossref · 10.1021/acs.chemmater.6b02726

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Metadata

Authors
Talaie, E., Bonnick, P., Sun, X., Pang, Q., Liang, X., & Nazar, L. F.
Venue
Chemistry of Materials
Published
2016-11-09
Volume
29
Issue
1
Pages
90-105
ISSN
  • 0897-4756 (ISSN-L)
  • 1520-5002
OpenAlex
W2514437433
Cited by
175
References
2
FWCI
8.08
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Methods and Protocols for Electrochemical Energy Storage Materials Research. https://app.cochat.ai/papers/10.1021/acs.chemmater.6b02726
The paper
Talaie, E., Bonnick, P., Sun, X., Pang, Q., Liang, X., & Nazar, L. F. (2017). Methods and Protocols for Electrochemical Energy Storage Materials Research. Chemistry of Materials. https://doi.org/10.1021/acs.chemmater.6b02726

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.