Enhancing flow stress predictions in CoCrFeNiV high entropy alloy with conventional and machine learning techniques

Enhancing flow stress predictions in CoCrFeNiV high entropy alloy with conventional and machine learning techniques

A machine learning technique leveraging artificial intelligence (AI) has emerged as a promising tool for expediting the exploration and design of novel high entropy alloys (HEAs) while predicting their mechanical properties at both room and elevated temperatures. In this paper, we predict the flow s...

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Bibliographic Details
Main Authors: Sheetal Kumar Dewangan, Reliance Jain, Soumyabrata Bhattacharjee, Sandeep Jain, Manikant Paswan, Sumanta Samal, Byungmin Ahn
Format: Article
Language:English
Published: Elsevier 2024-05-01
Series:Journal of Materials Research and Technology
Subjects:
High entropy alloy
Machine learning
Flow stress
Thermodynamics
Simulation
Online Access:http://www.sciencedirect.com/science/article/pii/S2238785424006938

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http://www.sciencedirect.com/science/article/pii/S2238785424006938

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