Mapping Charge Percolation in Flowable Electrodes Used in Capacitive Deionization

Marm B. Dixit, Daniel Moreno, Xianghui Xiao, Marta C. Hatzell, Kelsey B. Hatzell

Research output: Contribution to journalArticlepeer-review

32 Scopus citations

Abstract

Electrical percolation in flow electrode capacitive deionization is critical to mitigate electronic resistance and maximize ion electrosorption. It is experimentally challenging to characterize mass and charge transfer phenomena in flow electrodes with space and time dimensions. Here, we demonstrate a way to resolve charge percolation pathways at sub-micron resolutions using synchrotron X-ray tomography and computational techniques. Three-dimensional reconstructed images provide a means to measure important micro- and mesoscale electrode properties, such as pore-size distribution, aggregation size, and percolation properties. Developing this microstructural understanding of flow-electrodes is necessary to understand how transport limitations impact separations performance and to inform operating conditions at the technology level (flow regimes).

Original languageEnglish
Pages (from-to)71-76
Number of pages6
JournalACS Materials Letters
Volume1
Issue number1
DOIs
StatePublished - Jul 1 2019
Externally publishedYes

Funding

This material is based upon work supported by the National Science Foundation under Grant No. 1706290 for M.C.H. and Grant No. 1706956 for K.B.H. The authors acknowledge the Vanderbilt Institute of Nanoscience and Engineering (VINSE) for access to their shared characterization facilities. This research used resources of the Advanced Photon Source, a U.S. Department of Energy (DOE) Office of Science User Facility operated for the DOE Office of Science by Argonne National Laboratory under Contract No. DE-AC02-06CH11357. This research used resources of the National Synchrotron Light Source II, a U.S. Department of Energy (DOE) Office of Science User Facility operated for the DOE Office of Science by Brookhaven National Laboratory under Contract No. DE-SC0012704.

FundersFunder number
National Science Foundation1706290, 1706956
U.S. Department of Energy
Office of Science
Argonne National LaboratoryDE-AC02-06CH11357
Brookhaven National LaboratoryDE-SC0012704

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