A reverse design model for high-performance and low-cost magnesium alloys by machine learning
Abstract
Developing high-performance, low-cost magnesium (Mg) alloys using conventional plastic forming processes is a tremendous challenge with great potential for commercial application. However, the current research and development for Mg alloys are still based on “trial and error” methods, which are inefficient, unpredictable, and time-consuming. Recently, machine learning (ML) technology has shown great potential in materials, which has provided new...
Paper Details
Title
A reverse design model for high-performance and low-cost magnesium alloys by machine learning
Published Date
Jan 1, 2022
Volume
201
Pages
110881 - 110881
Citation AnalysisPro
You’ll need to upgrade your plan to Pro
Looking to understand the true influence of a researcher’s work across journals & affiliations?
- Scinapse’s Top 10 Citation Journals & Affiliations graph reveals the quality and authenticity of citations received by a paper.
- Discover whether citations have been inflated due to self-citations, or if citations include institutional bias.
Notes
History