Maqola

A micromechanical nested machine learning model for characterizing materials behaviors of bulk metallic glasses

Moustafa Sahnoune ChaoucheDepartment of Electrical Engineering, Laboratory of Renewable Energy and Materials (LREM), University Yahia Fares of Medea, Medea, AlgeriaHani K. Al-MohairDepartment of Computer and Information Technology, King Fahd University of Petroleum and Minerals, Dhahran, Saudi ArabiaShavan AskarErbil Technical engineering college, Erbil polytechnic University, Erbil, IraqBarno Sayfutdinovna AbdullaevaTashkent State Pedagogical University, Tashkent, UzbekistanNaseer Ali HussienInformation and Communication Technology Research Group, Scientific Research Center, Al-Ayen University, Thi-Qar, IraqAhmed AlawadiCollege of technical engineering, the Islamic University of Al Diwaniyah, Iraq

Journal of Non-Crystalline Solidsjournal2023en

ABI

Annotatsiya

Annotatsiya mavjud emas.

Mavzular

Metallic Glasses and Amorphous Alloys Magnetic properties of thin films Anodic Oxide Films and Nanostructures

Identifikatorlar

DOI: 10.1016/j.jnoncrysol.2023.122733

Iqtiboslar va manbalar

1 ta iqtibos 52 ta foydalanilgan manba

Koʻrsatkichlar — AkademScholar · Tez orada