Machine Learning X-ray Spectroscopy for Materials Characterization
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Sähkötekniikan korkeakoulu |
Bachelor's thesis
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Authors
Date
2019-05-21
Department
Major/Subject
Automaatio ja robotiikka
Mcode
ELEC3014
Degree programme
Sähkötekniikan kandidaattiohjelma
Language
en
Pages
19
Series
Description
Supervisor
Forsman, PekkaThesis advisor
Aarva, AnjaKeywords
amorphous carbon, machine learning, X-ray spectroscopy, density functional theory, smooth overlap of atomic positions, hyperparameter