Original paper
Phase prediction in high entropy alloys with a rational selection of materials descriptors and machine learning models
Abstract
Materials informatics employs machine learning (ML) models to map the relationship between a targeted property and various materials descriptors, providing new avenues to accelerate the discovery of new materials. However, the possible ML models and materials descriptors are numerous, and a rational recipe to rapidly choose the best combination of the two is needed. In the present study, we propose a systematic framework that utilizes a genetic...
Paper Details
Title
Phase prediction in high entropy alloys with a rational selection of materials descriptors and machine learning models
Published Date
Feb 1, 2020
Journal
Volume
185
Pages
528 - 539
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Notes
History