Materials Prediction Using High-Throughput and Machine Learning Techniques

Materials Prediction Using High-Throughput and Machine Learning Techniques

Predicting new materials through virtually screening a large number of hypothetical materials using supercomputers has enabled materials discovery at an accelerated pace. However, the innumerable number of possible hypothetical materials necessitates the development of faster computational methods f...

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Bibliographic Details
Main Author: Nyshadham, Chandramouli
Format: Others
Published: BYU ScholarsArchive 2019
Subjects:
materials prediction
superalloys
high-throughput
machine learning
computational materials science
density functional theory
formation enthalpy
Physical Sciences and Mathematics
Online Access:https://scholarsarchive.byu.edu/etd/7735
https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=8735&context=etd

Internet

https://scholarsarchive.byu.edu/etd/7735
https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=8735&context=etd

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