A machine learning-based alloy design system to facilitate the rational design of high entropy alloys with enhanced hardness

Volume: 222, Pages: 117431 - 117431
Published: Jan 1, 2022
Abstract
Trapped by time-consuming traditional trial-and-error methods and vast untapped composition space, efficiently discovering novel high entropy alloys (HEAs) with exceptional performance remains a great challenge. Herein, we present a machine learning-based alloy design system (MADS) to facilitate the rational design of HEAs with enhanced hardness. Initially, a hardness database was constructed, and then the key features affecting the hardness of...
Paper Details
Title
A machine learning-based alloy design system to facilitate the rational design of high entropy alloys with enhanced hardness
Published Date
Jan 1, 2022
Volume
222
Pages
117431 - 117431
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