Machine learning in quantum chemistry: Boiling point estimation for compounds with multiple functional groups

Jež, Martin

CS SKLog in Log in (EduId)

Theses np78iv

Machine learning in quantum chemistry: Boiling point estimation for compounds with multiple functional groups – Martin Jež

Zpět na vyhledávání

Martin Jež

Bachelor's thesis

Machine learning in quantum chemistry: Boiling point estimation for compounds with multiple functional groups

Metody strojového učení v kvantové chemii: Odhad bodu varu sloučenin s více funkčními skupinami

Language used: English

Date on which the thesis was submitted / produced: 2022

Thesis defence

Citation record

Cite this text

ISO 690-compliant citation record:

JEŽ, Martin. \textit{Machine learning in quantum chemistry: Boiling point estimation for compounds with multiple functional groups}. Online. Bachelor's thesis. Praha: University of Chemistry and Technology Prague, Faculty of Chemical Engineering. 2022. Available from: https://theses.cz/id/np78iv/.

@misc{Jez2022thesis,
AUTHOR = "Jež, Martin",
TITLE = "Machine learning in quantum chemistry: Boiling point estimation for compounds with multiple functional groups [online]",
YEAR = "2022 [cit. 2024-09-01]",
TYPE = "Bachelor's thesis",
SCHOOL = "University of Chemistry and Technology Prague, Faculty of Chemical EngineeringPraha",
NOTE = "SUPERVISOR: ",
URL = "https://theses.cz/id/np78iv/",
}

@misc{Jez2022thesis,
AUTHOR = {Jež, Martin},
TITLE = {Machine learning in quantum chemistry: Boiling point estimation for compounds with multiple functional groups},
YEAR = {2022},
TYPE = {Bachelor's thesis},
INSTITUTION = {University of Chemistry and Technology Prague, Faculty of Chemical Engineering},
LOCATION = {Praha},
SUPERVISOR = {},
URL = {https://theses.cz/id/np78iv/},
URL_DATE = {2024-09-01},
}

{{Citace kvalifikační práce
 | příjmení = Jež
 | jméno = Martin
 | instituce = University of Chemistry and Technology Prague, Faculty of Chemical Engineering
 | titul = Machine learning in quantum chemistry: Boiling point estimation for compounds with multiple functional groups
 | url = https://theses.cz/id/np78iv/
 | typ práce = Bachelor's thesis
 | vedoucí = 
 | rok = 2022
 | počet stran =
 | strany =
 | citace = 2024-09-01
 | poznámka =
 | jazyk = 
}}

Full text of thesis

Contents of on-line thesis archive

Published in Theses:

no one

University of Chemistry and Technology in Prague

Faculty of Chemical Engineering

Bachelor programme:
Chemistry

Theses on a related topic

No theses on a related topic available.