Improving phase prediction accuracy for high entropy alloys with Machine learning
Sign Up to like & getrecommendations! Published in 2021 at "Computational Materials Science"
DOI: 10.1016/j.commatsci.2021.110389
Abstract: Abstract High entropy alloys (HEAs) can possess improved physicochemical properties due to the formation of solid solution (SS), intermetallic (IM) and/or mixed (SS + MM) phases with unique microstructures. For this reason, phase prediction in HEAs (SS,… read more here.
Keywords: entropy; accuracy; phase prediction; high entropy ... See more keywords
A gait phase prediction model trained on benchmark datasets for evaluating a controller for prosthetic legs
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DOI: 10.3389/fnbot.2022.1064313
Abstract: Powered lower-limb assistive devices, such as prostheses and exoskeletons, are a promising option for helping mobility-impaired individuals regain functional gait. Gait phase prediction plays an important role in controlling these devices and evaluating whether the… read more here.
Keywords: gait phase; prediction; phase prediction; model trained ... See more keywords
Phase Prediction of High-Entropy Alloys by Integrating Criterion and Machine Learning Recommendation Method
Sign Up to like & getrecommendations! Published in 2022 at "Materials"
DOI: 10.3390/ma15093321
Abstract: The comprehensive properties of high-entropy alloys (HEAs) are highly-dependent on their phases. Although a large number of machine learning (ML) algorithms has been successfully applied to the phase prediction of HEAs, the accuracies among different… read more here.
Keywords: criterion; prediction; phase prediction; machine learning ... See more keywords