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Title: Real-time 3D imaging of microstructure growth in battery cells using indirect MRI

Journal Article · · Proceedings of the National Academy of Sciences of the United States of America
 [1];  [1];  [2];  [3];  [1]
  1. Department of Chemistry, New York University, New York, NY 10003,
  2. Department of Chemistry, Stony Brook University, Stony Brook, NY 11794-3400,
  3. Department of Chemistry, Stony Brook University, Stony Brook, NY 11794-3400,, Department of Chemistry, University of Cambridge, Cambridge CB2 1EW, United Kingdom

Significance Lithium metal is an ideal anode material for rechargeable Li-ion batteries, but its use is prevented by the growth of lithium deposits, or “dendrites,” during charging that can cause performance loss and serious safety concerns. Understanding the growth of dendrites in situ is crucial for the progress of this technology. MRI has been limited to directly studying the lithium signal until now, resulting in low sensitivity, limited resolution, and long experiment times. We present here an approach that detects the “shadows” of dendrites growing through the electrolyte, allowing the dendrites’ growth to be imaged very quickly in 3D with high resolution. This technique can also be applied to other electrodes, such as those based on sodium, zinc, and magnesium.

Research Organization:
Energy Frontier Research Centers (EFRC), Washington, D.C. (United States). Northeastern Center for Chemical Energy Storage (NECCES)
Sponsoring Organization:
USDOE Office of Science (SC), Basic Energy Sciences (BES)
Grant/Contract Number:
SC0001294; SC0012583; AC02-05CH11231
OSTI ID:
1324322
Alternate ID(s):
OSTI ID: 1388038
Journal Information:
Proceedings of the National Academy of Sciences of the United States of America, Journal Name: Proceedings of the National Academy of Sciences of the United States of America Vol. 113 Journal Issue: 39; ISSN 0027-8424
Publisher:
Proceedings of the National Academy of SciencesCopyright Statement
Country of Publication:
United States
Language:
English
Citation Metrics:
Cited by: 102 works
Citation information provided by
Web of Science

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