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Editorial: Machine Learning and Data Mining in Materials Science

Research output: Journal contributions › Other (editorial matter etc.) › Research

Authors

Original languageEnglish
Article number51
JournalFrontiers in Materials
Volume7
Number of pages3
ISSN2296-8016
DOIs
Publication statusPublished - 28.02.2020

    Research areas

  • data mining, machine learning, machining of data, materials design, materials processing, scale bridging
  • Engineering

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Enhanced dissimilar aluminum alloy joints using 0.1 mm offset in refill friction stir spot welding

Maranho, J. F. C., Cui, F., Tang, H., Feng, X., Luan, H., Shen, J., Wolf, W., Freitas, B. J. M., Li, W., Alcântara, N. G. D., Santos, J. F. D., Klusemann, B. & Koga, G. Y., 01.05.2025, In: Journal of Materials Research and Technology. 36, p. 1091-1104 14 p.

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Fatigue life enhancement via residual stress engineering due to local forming during refill friction stir spot welding

Becker, N., Kuhn, D., Piochowiak, J. & Klusemann, B., 01.05.2025, In: Journal of Materials Research and Technology. 36, p. 2951-2959 9 p.

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Friction stir lap weld-brazing of AA7050 aluminium alloy to Ti6Al4V titanium alloy – Limitations in dissimilar metal joining

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Friction stir welding of the dissimilar materials AA6082 and AISI316 for marine applications

Bergmann, L., Mello Callil, V., Meirelles Azevedo Gomes, E. V., Igor Lourenço De Souza, M., Caprace, J. D., dos Santos, J. F., Bergmann, J. P. & Klusemann, B., 2025, (Accepted/In press) In: International Journal of Advanced Manufacturing Technology. 14 p.

Research output: Journal contributions › Journal articles › Research › peer-review

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