Concavity-based local erosion and sphere-size-based local dilation applied to lithium-ion battery electrode microstructures for particle identification Article Swipe

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Francois L. E. Usseglio‐Viretta , Paul Gasper , Nina Prakash , Melissa Popeil , Kandler Smith , Donal P. Finegan ·

YOU? · · 2025 · Open Access · · DOI: https://doi.org/10.1016/j.commatsci.2025.113758

Performance metrics of lithium-ion batteries can be extracted from the analysis of electrode microstructures nanoscale imaging. The characterization workflow can involve a challenging particle identification, or instance segmentation, step. In this work, we propose a new identification method based on an original transformation: a sphere-size-based local dilation followed by a concavity-based local erosion, that is local morphology closing. The new transformation is much more efficient than the global morphology closing, with correct identification achieved with only 1.7 % dilation volume and 2.6 % erosion volume on a test geometry, compared to 39.2 % and more than 50 %, respectively, with its global counterpart. The new method has been then benchmarked versus other identification algorithms (watershed and pseudo coulomb repulsive field) on a real electrode microstructure with equal or better segmentation achieved.

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Microstructure Dilation (metric space) Electrode Materials science Ion Lithium (medication) Particle size Lithium-ion battery Particle (ecology) Battery (electricity) Composite material Chemical engineering Chemistry Thermodynamics Physics Mathematics Physical chemistry Geometry Oceanography Power (physics) Medicine Geology Engineering Endocrinology Organic chemistry

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Type: article
Language: en
Landing Page: https://doi.org/10.1016/j.commatsci.2025.113758
OA Status: hybrid
Cited By: 1
References: 29
Related Works: 10
OpenAlex ID: https://openalex.org/W4407597860

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DOI: https://doi.org/10.1016/j.commatsci.2025.113758

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Title: Concavity-based local erosion and sphere-size-based local dilation applied to lithium-ion battery electrode microstructures for particle identification

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Language: en

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Publication year: 2025

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Publication date: 2025-02-16

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Authors: Francois L. E. Usseglio‐Viretta, Paul Gasper, Nina Prakash, Melissa Popeil, Kandler Smith, Donal P. Finegan

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Landing page: https://doi.org/10.1016/j.commatsci.2025.113758

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Concepts: Microstructure, Dilation (metric space), Electrode, Materials science, Ion, Lithium (medication), Particle size, Lithium-ion battery, Particle (ecology), Battery (electricity), Composite material, Chemical engineering, Chemistry, Thermodynamics, Physics, Mathematics, Physical chemistry, Geometry, Oceanography, Power (physics), Medicine, Geology, Engineering, Endocrinology, Organic chemistry

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Cited by: 1

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