MATBOX, an Open-Source Microstructure Analysis Toolbox for Meshing, Generation, Segmentation, and Characterization of 3D Heterogenous Volumes Article Swipe
Francois L. E. Usseglio‐Viretta
,
Prehit Patel
,
Elizabeth B. Bernhardt
,
Jeffrey C. Allen
,
Kandler Smith
·
YOU?
·
· 2023
· Open Access
·
YOU?
·
· 2023
· Open Access
·
Battery performance is strongly correlated with electrode microstructural properties. To account for its impact, lithium-ion battery (LIB) models either abstract the microstructural heterogeneity of composite electrodes using effective macroscopic properties (macro- or meso- scale models) or directly solve the system of equations on the microstructure geometry or mesh (microstructure-scale models). Therefore, to be adequate, both families of models require information from the microstructure geometry, which can be provided by the numerical tool presented in this work. MATBOX is a MATLAB open-source application [1] developed by NREL for performing various microstructure-related tasks including microstructure numerical generation, image filtering and microstructure segmentation, microstructure characterization and correlation, visualization, and microstructure meshing. MATBOX was originally developed for the analysis of LIB electrode microstructures; however, the algorithms provided by the toolbox are widely applicable to other heterogeneous materials. The toolbox provides a user-friendly experience thanks to a Graphical-User Interface, requires no coding by the user, and is well documented. This presentation will illustrate various MATBOX features for the characterization of a LIB electrode, including a fully automated Representative Volume Element (RVE) analysis, the numerical generation of complex 'virtual' microstructure, including dual-layer electrodes and carbon-binder additive phase, and the meshing of a complex NMC/graphite full cell microstructure suitable for 3D finite-element modeling. Other modules (segmentation, visualization, and correlation) will be briefly presented. Thanks to its modular, open-source approach, MATBOX can easily incorporate third-party algorithms to eventually build a standard in the field that will benefit the whole scientific community. Effective diffusion coefficient [2], additive phase numerical generation [3], and meshing [4] third-party algorithms have been already integrated in the toolbox with more to come.
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- en
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- OpenAlex ID
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All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4323030392Canonical identifier for this work in OpenAlex
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MATBOX, an Open-Source Microstructure Analysis Toolbox for Meshing, Generation, Segmentation, and Characterization of 3D Heterogenous VolumesWork title
- Type
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paratextOpenAlex work type
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enPrimary language
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2023Year of publication
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2023-03-02Full publication date if available
- Authors
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Francois L. E. Usseglio‐Viretta, Prehit Patel, Elizabeth B. Bernhardt, Jeffrey C. Allen, Kandler SmithList of authors in order
- Landing page
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https://www.osti.gov/biblio/1958729Publisher landing page
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https://www.osti.gov/biblio/1958729Direct link to full text PDF
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YesWhether a free full text is available
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greenOpen access status per OpenAlex
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https://www.osti.gov/biblio/1958729Direct OA link when available
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Toolbox, Computer science, Characterization (materials science), Segmentation, Microstructure, Open source, Artificial intelligence, Materials science, Programming language, Software, Metallurgy, NanotechnologyTop concepts (fields/topics) attached by OpenAlex
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| abstract_inverted_index.performing | 87 |
| abstract_inverted_index.presented. | 215 |
| abstract_inverted_index.properties | 29 |
| abstract_inverted_index.scientific | 241 |
| abstract_inverted_index.application | 81 |
| abstract_inverted_index.coefficient | 245 |
| abstract_inverted_index.documented. | 153 |
| abstract_inverted_index.generation, | 94 |
| abstract_inverted_index.incorporate | 225 |
| abstract_inverted_index.information | 59 |
| abstract_inverted_index.lithium-ion | 14 |
| abstract_inverted_index.macroscopic | 28 |
| abstract_inverted_index.open-source | 80, 220 |
| abstract_inverted_index.performance | 1 |
| abstract_inverted_index.properties. | 8 |
| abstract_inverted_index.third-party | 226, 255 |
| abstract_inverted_index.NMC/graphite | 197 |
| abstract_inverted_index.correlation) | 211 |
| abstract_inverted_index.correlation, | 103 |
| abstract_inverted_index.presentation | 155 |
| abstract_inverted_index.carbon-binder | 188 |
| abstract_inverted_index.heterogeneity | 22 |
| abstract_inverted_index.heterogeneous | 131 |
| abstract_inverted_index.segmentation, | 99 |
| abstract_inverted_index.user-friendly | 137 |
| abstract_inverted_index.(segmentation, | 208 |
| abstract_inverted_index.Graphical-User | 142 |
| abstract_inverted_index.Representative | 172 |
| abstract_inverted_index.finite-element | 204 |
| abstract_inverted_index.microstructure | 44, 62, 92, 98, 100, 106, 200 |
| abstract_inverted_index.visualization, | 104, 209 |
| abstract_inverted_index.microstructural | 7, 21 |
| abstract_inverted_index.microstructure, | 183 |
| abstract_inverted_index.characterization | 101, 163 |
| abstract_inverted_index.microstructures; | 118 |
| abstract_inverted_index.(microstructure-scale | 48 |
| abstract_inverted_index.microstructure-related | 89 |
| cited_by_percentile_year | |
| countries_distinct_count | 0 |
| institutions_distinct_count | 5 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/9 |
| sustainable_development_goals[0].score | 0.5199999809265137 |
| sustainable_development_goals[0].display_name | Industry, innovation and infrastructure |
| citation_normalized_percentile |