Design of high bulk moduli high entropy alloys using machine learning

• المؤلفون الرئيسيون: Kandavalli, Manjunadh, Agarwal, Abhishek, Poonia, Ansh, Kishor, Modalavalasa, Ayyagari, Kameswari Prasada Rao
• مؤلفون آخرون: School of Computer Science and Engineering
• التنسيق: مقال
• اللغة: English
• منشور في: 2024
• الموضوعات: Engineering; Least absolute shrinkage and selection operator; Machine learning
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/173853
• المؤسسة: Nanyang Technological University

In this work, the authors have demonstrated the use of machine learning (ML) models in the prediction of bulk modulus for High Entropy Alloys (HEA). For the first time, ML has been used for optimizing the composition of HEA to achieve enhanced bulk modulus values. A total of 12 ML algorithms were tr...