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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.

Rights:

• Creative Commons BY Attribution 4.0 International
  

Keyword: electrodeposited copper film, surface roughness, machine learning

Date published: 2024-12-31

Publisher: Taylor & Francis

Journal:

• Science and Technology of Advanced Materials: Methods (ISSN: 27660400) vol. 4 issue. 1 2416889

Funding:

Manuscript type: Publisher's version (Version of record)

MDR DOI:

First published URL: https://doi.org/10.1080/27660400.2024.2416889

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Updated at: 2024-10-31 16:30:15 +0900

Published on MDR: 2024-10-31 16:30:16 +0900