Zobrazeno 1 - 4
of 4
pro vyhledávání: '"KiSub Cho"'
Publikováno v:
Journal of Materials Research and Technology, Vol 33, Iss , Pp 2672-2682 (2024)
To develop medium-Mn steels with an ultimate tensile strength (UTS) exceeding 2 GPa and excellent ductility, we created a highly accurate UTS prediction machine learning (ML) model using a boosted decision tree model and 1520 dataset of tensile prope
Externí odkaz:
https://doaj.org/article/2961ab15f09c4c1fbeb264a12077d5f2
Publikováno v:
Journal of Materials Research and Technology, Vol 17, Iss , Pp 1770-1776 (2022)
Weak interfacial adhesion is one of key obstacles to develop aluminum matrix composites containing carbon nanotubes (CNTs). This study suggests the concept of bridging atoms to enhance the interfacial wetting between aluminum and CNTs. Machine learni
Externí odkaz:
https://doaj.org/article/b62122891a434ddcb2c6f4dd0c06c510
Publikováno v:
Journal of Alloys and Compounds. 947:169546
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e8b74e2872dd93f35657a861a1dce3dc
https://doi.org/10.1016/j.jallcom.2023.169546
https://doi.org/10.1016/j.jallcom.2023.169546
Publikováno v:
Journal of Materials Research and Technology. 18:5451
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3f8fbf555ca1161dca6b2b1a09381320
https://doi.org/10.1016/j.jmrt.2022.04.038
https://doi.org/10.1016/j.jmrt.2022.04.038