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Cited by 238

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Black anatase titania enabling ultra high cycling rates for rechargeable lithium batteries

Myung, Seung-Taek, Kikuchi, Masaru, Yoon, Chong Seung, Yashiro, Hitoshi, Kim, Sun-Jae, Sun, Yang-Kook, Scrosati, Bruno·2013·Energy & Environmental Science

Abstract

In this work we report the synthesis and the characterization of black anatase TiO2. We show that this material displays a nanostructured architecture, with an electro-conducting trivalent Ti. The presence of trivalent Ti in this structure narrows the inherent high band gap energy to a semiconductor level, reaching a value as low as 1.8 eV, resulting in the very high electrical conductivity of 8 × 10−2 S cm−1. These extraordinary electro-conducting physical properties ensure an ultra fast Li+ insertion into and extraction from the host structure of anatase TiO2 making it a unique, high rate electrode, delivering at a 100 C-rate (20 A g−1) a discharge capacity of 127 mA h (g-TiO2)−1 with approximately 86% retention during 100 charge–discharge cycles at 25 °C and approximately 84% retention at −20 °C.

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Metadata

Authors
Myung, S.-T., Kikuchi, M., Yoon, C. S., Yashiro, H., Kim, S.-J., Sun, Y.-K., & Scrosati, B.
Venue
Energy & Environmental Science
Published
2013
Volume
6
Issue
9
Pages
2609
ISSN
  • 1754-5692 (ISSN-L)
  • 1754-5706
OpenAlex
W2158951976
Cited by
238
References
0
FWCI
16.58
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Black anatase titania enabling ultra high cycling rates for rechargeable lithium batteries. https://app.cochat.ai/papers/10.1039/c3ee41960f
The paper
Myung, S.-T., Kikuchi, M., Yoon, C. S., Yashiro, H., Kim, S.-J., Sun, Y.-K., & Scrosati, B. (2013). Black anatase titania enabling ultra high cycling rates for rechargeable lithium batteries. Energy & Environmental Science. https://doi.org/10.1039/c3ee41960f

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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.