Unraveling phase prediction in high entropy alloys: A synergy of machine learning, deep learning, and ThermoCalc, validation by experimental analysis

The phase formation in high entropy alloys (HEAs) presents a significant challenge due to the complexity of their composition and the intricate interactions between multiple elements. The machine learning (ML) and deep learning (ANN) models play a crucial role in phase prediction for HEAs owing to t...

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Detalhes bibliográficos

Principais autores:	Mokali Veeresham, Narayanaswamy Sake, Unhae Lee, Nokeun Park
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Elsevier 2024-03-01
coleção:	Journal of Materials Research and Technology
Assuntos:	High entropy alloys Machine learning Deep learning ThermoCalc Phase prediction
Acesso em linha:	http://www.sciencedirect.com/science/article/pii/S2238785424001455
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