Experimentally validated inverse design of multi-property Fe-Co-Ni alloys

This study presents a machine learning (ML) framework aimed at accelerating the discovery of multi-property optimized Fe-Ni-Co alloys, addressing the time-consuming, expensive, and inefficient nature of traditional methods of material discovery, development, and deployment. We compiled a detailed he...

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Bibliographic Details
Main Authors: Padhy, Shakti P., Chaudhary, Varun, Lim, Yee-Fun, Zhu, Ruiming, Thway, Muang, Hippalgaonkar, Kedar, Ramanujan, Raju V.
Other Authors: School of Materials Science and Engineering
Format: Article
Language:English
Published: 2024
Subjects:
Online Access:https://hdl.handle.net/10356/178903
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Institution: Nanyang Technological University
Language: English