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Interdependencies in Electrode Manufacturing: A Comprehensive Study Based on Design Augmentation and Explainable Machine Learning.
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- Batteries & Supercaps, 2024, v. 7, n. 5, p. 1, doi. 10.1002/batt.202300556
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Efficient Analysis of Interdependencies in Electrode Manufacturing Through Joint Application of Design of Experiments and Explainable Machine Learning.
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- Batteries & Supercaps, 2024, v. 7, n. 2, p. 1, doi. 10.1002/batt.202300457
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- Article
Machine Learning in Lithium‐Ion Battery Cell Production: A Comprehensive Mapping Study.
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- Batteries & Supercaps, 2023, v. 6, n. 7, p. 1, doi. 10.1002/batt.202300046
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Measuring Instruments for Characterization of Intermediate Products in Electrode Manufacturing of Lithium‐Ion Batteries.
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- Energy Technology, 2023, v. 11, n. 9, p. 1, doi. 10.1002/ente.202300364
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Tailored Digitalization in Electrode Manufacturing: The Backbone of Smart Lithium‐Ion Battery Cell Production.
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- Energy Technology, 2022, v. 10, n. 10, p. 1, doi. 10.1002/ente.202200657
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A Review of the Applications of Explainable Machine Learning for Lithium–Ion Batteries: From Production to State and Performance Estimation.
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- Energies (19961073), 2023, v. 16, n. 17, p. 6360, doi. 10.3390/en16176360
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- Article