Automatic Featurization Aided Data-Driven Method for Estimating the Presence of Intermetallic Phase in Multi-Principal Element Alloys

Automatic Featurization Aided Data-Driven Method for Estimating the Presence of Intermetallic Phase in Multi-Principal Element Alloys

Multi-principal element alloys (MPEAs) are characterized by a high-dimensional materials design space, and data-driven models can be considered as the best tools to describe the structure–property relationship in this class of materials. Predicting the prevalence of an intermetallic (IM) phase in a...

Full description

Bibliographic Details
Main Authors: Upadesh Subedi, Yuri Amorim Coutinho, Prafulla Bahadur Malla, Khem Gyanwali, Anil Kunwar
Format: Article
Language:English
Published: MDPI AG 2022-06-01
Series:Metals
Subjects:
automatic featurization
intermetallic compounds
high entropy alloys
principal component analysis
neural network analysis
Online Access:https://www.mdpi.com/2075-4701/12/6/964

Internet

https://www.mdpi.com/2075-4701/12/6/964

Similar Items