Gaussian Process Regression for Pre- dicting Charges and Dipoles for Infrared Spectroscopy
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Volume Title
Perustieteiden korkeakoulu |
Bachelor's thesis
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Author
Date
2023-09-15
Department
Major/Subject
Data Science
Mcode
SCI3095
Degree programme
Aalto Bachelor’s Programme in Science and Technology
Language
en
Pages
27+3
Series
Description
Supervisor
Korpi-Lagg, MaaritThesis advisor
Krejci, OndrejKeywords
infrared spectroscopy, machine learnings, Gaussian processes, neural networks
