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Cover Picture: Chameleon Metals: Autonomous Nano‐Texturing and Composition Inversion on Liquid Metals Surfaces (Angew. Chem. Int. Ed. 1/2020)
Abstract
Chameleon Metals. Metal passivating oxide layers are complex pseudo-equilibrium systems with a plethora of undiscovered features. In their Research Article on page 352, M. Thuo et al. exploit the complexity of such a thin oxide layer to engineer surface design and structure, resulting in the formation of compositionally inverted surface features and nanoscale fractal-like designs.
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Cited by
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Kong, P., Minkov, V. S., Kuzovnikov, M. A., Drozdov, A. P., Besedin, S. P., Mozaffari, S., Balicas, L., Balakirev, F. F., Prakapenka, V. B., Chariton, S., et al. (2021) · Nature Communications · doi:10.1038/s41467-021-25372-2 · Cited by 528
Designing a Built-In Electric Field for Efficient Energy Electrocatalysis
Zhao, X., Liu, M., Wang, Y., Xiong, Y., Yang, P., Qin, J., Xiong, X., & Lei, Y. (2022) · ACS Nano · doi:10.1021/acsnano.2c09888 · Cited by 437
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Metadata
- Authors
- Martin, A., Kiarie, W., Chang, B., & Thuo, M.
- Venue
- Angewandte Chemie International Edition
- Publisher
- Wiley
- Published
- 2019-12-06
- Volume
- 59
- Issue
- 1
- Pages
- 1-1
- ISSN
- 1433-7851 (ISSN-L)
- 1521-3773
- OpenAlex
- W2995831021
- Cited by
- 322
- References
- 0
- FWCI
- 22.65
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Cover Picture: Chameleon Metals: Autonomous Nano‐Texturing and Composition Inversion on Liquid Metals Surfaces (Angew. Chem. Int. Ed. 1/2020). https://app.cochat.ai/papers/10.1002/anie.201914874
- The paper
- Martin, A., Kiarie, W., Chang, B., & Thuo, M. (2020). Cover Picture: Chameleon Metals: Autonomous Nano‐Texturing and Composition Inversion on Liquid Metals Surfaces (Angew. Chem. Int. Ed. 1/2020). Angewandte Chemie International Edition. https://doi.org/10.1002/anie.201914874
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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.
