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A wide range of deep learning-based machine learning techniques are extensively applied to the design of high-entropy alloys (HEAs), yielding numerous valuable insights. Kolmogorov-Arnold Networks (KAN) is a recently developed architecture that aims
Externí odkaz:
http://arxiv.org/abs/2410.08452
Autor:
Nahar, Ridwan, Law, Ka Ming, Roden, Thomas, Zengel, Michael, Lewis, Justin, Budhathoki, Sujan, Nold, Riley, Avlani, Harshil, Akintunde, Babajide, Derksen, Naomi, Hauser, Adam J.
Publikováno v:
In Data in Brief February 2024 52
Autor:
Nahar R; Department of Physics and Astronomy, University of Alabama, AL, United States., Law KM; Department of Physics and Astronomy, University of Alabama, AL, United States., Roden T; Department of Physics and Astronomy, University of Alabama, AL, United States., Zengel M; Department of Physics and Astronomy, University of Alabama, AL, United States., Lewis J; Department of Physics and Astronomy, University of Alabama, AL, United States., Budhathoki S; Department of Physics and Astronomy, University of Alabama, AL, United States., Nold R; Department of Physics and Astronomy, University of Alabama, AL, United States., Avlani H; Department of Physics and Astronomy, University of Alabama, AL, United States., Akintunde B; Department of Physics and Astronomy, University of Alabama, AL, United States., Derksen N; Department of Physics and Astronomy, University of Alabama, AL, United States., Hauser AJ; Department of Physics and Astronomy, University of Alabama, AL, United States.
Publikováno v:
Data in brief [Data Brief] 2023 Dec 18; Vol. 52, pp. 109971. Date of Electronic Publication: 2023 Dec 18 (Print Publication: 2024).