Robustness of machine learning predictions for Fe-Co-Ni alloys prepared by various synthesis methods

• Main Authors: Padhy, Shakti P., Mishra, Soumya Ranjan, Tan, Li Ping, Davidson, Karl Peter, Xu, Xuesong, Chaudhary, Varun, Ramanujan, Raju V.
• Other Authors: School of Materials Science and Engineering
• Format: Article
• Language: English
• Published: 2025
• Subjects: Engineering; Applied sciences; Computer science
• Online Access: https://hdl.handle.net/10356/182002
• Institution: Nanyang Technological University

Developing high-performance alloys is essential for applications in advanced electromagnetic energy conversion devices. In this study, we assess Fe-Co-Ni alloy compositions identified in our previous work through a machine learning (ML) framework, which used both multi-property ML models and multi-o...