Development of a machine learning model for predicting photophysical parameters of organic molecules (2024)
- Autor:
- Autor USP: ARAUJO, JOÃO MARCOS RIGON - IFSC
- Unidade: IFSC
- Subjects: INTELIGÊNCIA ARTIFICIAL; APRENDIZADO COMPUTACIONAL; FÍSICA MOLECULAR
- Language: Inglês
- Imprenta:
- Publisher: Institute of Physics - IOP
- Publisher place: Bristol
- Date published: 2024
- Source:
- Título: Program
- Conference titles: International Laser Physics Workshop - LPHYS'24
-
ABNT
ARAUJO, João Marcos Rigon. Development of a machine learning model for predicting photophysical parameters of organic molecules. 2024, Anais.. Bristol: Institute of Physics - IOP, 2024. Disponível em: https://www.lasphys.com/workshops/abstracts/files/2024/78/9a/9e/6d4b24912bf60a4d47a61349c7/abstract.pdf. Acesso em: 17 fev. 2026. -
APA
Araujo, J. M. R. (2024). Development of a machine learning model for predicting photophysical parameters of organic molecules. In Program. Bristol: Institute of Physics - IOP. Recuperado de https://www.lasphys.com/workshops/abstracts/files/2024/78/9a/9e/6d4b24912bf60a4d47a61349c7/abstract.pdf -
NLM
Araujo JMR. Development of a machine learning model for predicting photophysical parameters of organic molecules [Internet]. Program. 2024 ;[citado 2026 fev. 17 ] Available from: https://www.lasphys.com/workshops/abstracts/files/2024/78/9a/9e/6d4b24912bf60a4d47a61349c7/abstract.pdf -
Vancouver
Araujo JMR. Development of a machine learning model for predicting photophysical parameters of organic molecules [Internet]. Program. 2024 ;[citado 2026 fev. 17 ] Available from: https://www.lasphys.com/workshops/abstracts/files/2024/78/9a/9e/6d4b24912bf60a4d47a61349c7/abstract.pdf
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