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Cited by 367

The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.

Batteries for Efficient Energy Extraction from a Water Salinity Difference

La Mantia, Fabio, Pasta, Mauro, Deshazer, Heather D., Logan, Bruce E., Cui, Yi·2011·Nano Letters

Abstract

The salinity difference between seawater and river water is a renewable source of enormous entropic energy, but extracting it efficiently as a form of useful energy remains a challenge. Here we demonstrate a device called "mixing entropy battery", which can extract and store it as useful electrochemical energy. The battery, containing a Na(2-x)Mn(5)O(10) nanorod electrode, was shown to extract energy from real seawater and river water and can be applied to a variety of salt waters. We demonstrated energy extraction efficiencies of up to 74%. Considering the flow rate of river water into oceans as the limiting factor, the renewable energy production could potentially reach 2 TW, or ∼13% of the current world energy consumption. The mixing entropy battery is simple to fabricate and could contribute significantly to renewable energy in the future.

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Metadata

Authors
La Mantia, F., Pasta, M., Deshazer, H. D., Logan, B. E., & Cui, Y.
Venue
Nano Letters
Published
2011-03-17
Volume
11
Issue
4
Pages
1810-1813
ISSN
  • 1530-6984 (ISSN-L)
  • 1530-6992
OpenAlex
W4242301921
Cited by
367
References
6
FWCI
11.67
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Batteries for Efficient Energy Extraction from a Water Salinity Difference. https://app.cochat.ai/papers/10.1021/nl200500s
The paper
La Mantia, F., Pasta, M., Deshazer, H. D., Logan, B. E., & Cui, Y. (2011). Batteries for Efficient Energy Extraction from a Water Salinity Difference. Nano Letters. https://doi.org/10.1021/nl200500s

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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.