A machine learning approach for accelerated design of magnesium alloys. Part A: Alloy data and property space
Typically, magnesium alloys have been designed using a so-called hill-climbing approach, with rather incremental advances over the past century. Iterative and incremental alloy design is slow and expensive, but more importantly it does not harness all the data that exists in the field. In this work,...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
KeAi Communications Co., Ltd.
2023-10-01
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| Series: | Journal of Magnesium and Alloys |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S221395672300213X |