Работы, цитирующие эту работу

Работ: 2

Работа: Machine learning prediction of elastic properties and glass-forming ability of bulk metallic glasses

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

   Moustafa Sahnoune Chaouche, Hani K. Al-Mohair, Shavan Askar +3

   СтатьяMetallic Glasses and Amorphous AlloysJournal of Non-Crystalline Solids2023Цитирований: 1

   ABIABI:AkademIndex/openalex/2023.article.001191

2. Tribological Properties Assessment of Metallic Glasses Through a Genetic Algorithm-Optimized Machine Learning Model

   Untung Rahardja, Arif Sarı, Ali Alsalamy +3

   СтатьяMetallic Glasses and Amorphous AlloysMetals and Materials International2023Цитирований: 0

   ABIABI:AkademIndex/openalex/2023.article.000099