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Cited by 428

The DOI matches its Crossref record; 31 of the 31 references it cites were found in a registry or an index.

Computational design of molecules for an all-quinone redox flow battery

Open access
Er, Süleyman, Suh, Changwon, Marshak, Michael P., Aspuru-Guzik, Alán·2015·Chemical Science

Abstract

We demonstrate a successful high-throughput screening approach for the discovery of inexpensive, redox-active quinone molecules for organic-based aqueous flow batteries.

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Crossref · 10.1039/c4sc03030c

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Metadata

Authors
Er, S., Suh, C., Marshak, M. P., & Aspuru-Guzik, A.
Venue
Chemical Science
Published
2015
Volume
6
Issue
2
Pages
885-893
ISSN
  • 2041-6520 (ISSN-L)
  • 2041-6539
OpenAlex
W2038102635
Cited by
428
References
31
FWCI
13.09
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: Computational design of molecules for an all-quinone redox flow battery. https://app.cochat.ai/papers/10.1039/c4sc03030c
The paper
Er, S., Suh, C., Marshak, M. P., & Aspuru-Guzik, A. (2015). Computational design of molecules for an all-quinone redox flow battery. Chemical Science. https://doi.org/10.1039/c4sc03030c

Data sources

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.