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A greyscale erosion algorithm for tomography (GREAT) to rapidly detect battery particle defects

Engineering and Technology

A greyscale erosion algorithm for tomography (GREAT) to rapidly detect battery particle defects

A. Wade, T. M. M. Heenan, et al.

Discover how a groundbreaking greyscale erosion algorithm (GREAT) improves the detection of defects in lithium-ion battery particles, significantly enhancing performance analysis. This research, conducted by A. Wade, T. M. M. Heenan, M. Kok, T. Tranter, A. Leach, C. Tan, R. Jervis, D. J. L. Brett, and P. R. Shearing, paves the way for identifying early degradation through advanced X-ray micro-CT data processing.... show more
Citation Metrics
Citations
11
Influential Citations
0
Reference Count
51
Citation by Year

Note: The citation metrics presented here have been sourced from Semantic Scholar and OpenAlex.

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