Predicting the surface roughness of an electrodeposited copper film using a machine learning technique
Electrodeposition-based metal coating techniques are used to manufacture various industrial products and rely on the quantitative control of the physical properties of the coating layers, such as electrical conductivity, surface roughness, and hardness. To clarify the experimental conditions require...
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| Format: | Article |
| Language: | English |
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Taylor & Francis Group
2024-12-01
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| Series: | Science and Technology of Advanced Materials: Methods |
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| Online Access: | https://www.tandfonline.com/doi/10.1080/27660400.2024.2416889 |
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| author | Ryo Tamura Ryuichi Inaba Mami Watanabe Yutaro Mori Makoto Urushihara Kenji Yamaguchi Shoichi Matsuda |
| author_facet | Ryo Tamura Ryuichi Inaba Mami Watanabe Yutaro Mori Makoto Urushihara Kenji Yamaguchi Shoichi Matsuda |
| author_sort | Ryo Tamura |
| collection | DOAJ |
| description | Electrodeposition-based metal coating techniques are used to manufacture various industrial products and rely on the quantitative control of the physical properties of the coating layers, such as electrical conductivity, surface roughness, and hardness. To clarify the experimental conditions required to realize the desired physical properties of metal coating layers and shed light on the complex mechanism of the involved reactions, we prepared a custom-built experimental dataset (60 conditions) on the surface roughness of electrodeposited thin copper films and submitted it to an open-access data repository. Data-driven analysis revealed that surface roughness is strongly affected by the deposition temperature, current, and interelectrode distance. |
| format | Article |
| id | doaj-art-c97ea166af0c4ec8a220bb0c0923642a |
| institution | OA Journals |
| issn | 2766-0400 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | Science and Technology of Advanced Materials: Methods |
| spelling | doaj-art-c97ea166af0c4ec8a220bb0c0923642a2025-08-20T02:32:44ZengTaylor & Francis GroupScience and Technology of Advanced Materials: Methods2766-04002024-12-014110.1080/27660400.2024.2416889Predicting the surface roughness of an electrodeposited copper film using a machine learning techniqueRyo Tamura0Ryuichi Inaba1Mami Watanabe2Yutaro Mori3Makoto Urushihara4Kenji Yamaguchi5Shoichi Matsuda6Center for Basic Research on Materials, National Institute for Materials Science, Tsukuba, Ibaraki, JapanInnovation Center, Mitsubishi Materials Corporation, Naka-shi, Ibaraki, JapanInnovation Center, Mitsubishi Materials Corporation, Naka-shi, Ibaraki, JapanInnovation Center, Mitsubishi Materials Corporation, Naka-shi, Ibaraki, JapanInnovation Center, Mitsubishi Materials Corporation, Naka-shi, Ibaraki, JapanInnovation Center, Mitsubishi Materials Corporation, Naka-shi, Ibaraki, JapanResearch Center for Energy and Environmental Materials (GREEN), National Institute for Materials Science, Tsukuba, Ibaraki, JapanElectrodeposition-based metal coating techniques are used to manufacture various industrial products and rely on the quantitative control of the physical properties of the coating layers, such as electrical conductivity, surface roughness, and hardness. To clarify the experimental conditions required to realize the desired physical properties of metal coating layers and shed light on the complex mechanism of the involved reactions, we prepared a custom-built experimental dataset (60 conditions) on the surface roughness of electrodeposited thin copper films and submitted it to an open-access data repository. Data-driven analysis revealed that surface roughness is strongly affected by the deposition temperature, current, and interelectrode distance.https://www.tandfonline.com/doi/10.1080/27660400.2024.2416889Electrodepositionmachine learningcopper filmelectrochemistrysurface roughness |
| spellingShingle | Ryo Tamura Ryuichi Inaba Mami Watanabe Yutaro Mori Makoto Urushihara Kenji Yamaguchi Shoichi Matsuda Predicting the surface roughness of an electrodeposited copper film using a machine learning technique Science and Technology of Advanced Materials: Methods Electrodeposition machine learning copper film electrochemistry surface roughness |
| title | Predicting the surface roughness of an electrodeposited copper film using a machine learning technique |
| title_full | Predicting the surface roughness of an electrodeposited copper film using a machine learning technique |
| title_fullStr | Predicting the surface roughness of an electrodeposited copper film using a machine learning technique |
| title_full_unstemmed | Predicting the surface roughness of an electrodeposited copper film using a machine learning technique |
| title_short | Predicting the surface roughness of an electrodeposited copper film using a machine learning technique |
| title_sort | predicting the surface roughness of an electrodeposited copper film using a machine learning technique |
| topic | Electrodeposition machine learning copper film electrochemistry surface roughness |
| url | https://www.tandfonline.com/doi/10.1080/27660400.2024.2416889 |
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