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

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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Bibliografski detalji
Glavni autori: Padhy, Shakti P., Chaudhary, Varun, Lim, Yee-Fun, Zhu, Ruiming, Thway, Muang, Hippalgaonkar, Kedar, Ramanujan, Raju V.
Daljnji autori: School of Materials Science and Engineering
Format: Journal Article
Jezik:English
Izdano: 2024
Teme:
Engineering
Materials synthesis
Physics
Online pristup:https://hdl.handle.net/10356/178903

Internet

https://hdl.handle.net/10356/178903

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