Source: Program. Conference titles: International Laser Physics Workshop - LPHYS'24. Unidade: IFSC
Subjects: INTELIGÊNCIA ARTIFICIAL, APRENDIZADO COMPUTACIONAL, FÍSICA MOLECULAR
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: 29 set. 2024.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.pdfNLM
Araujo JMR. Development of a machine learning model for predicting photophysical parameters of organic molecules [Internet]. Program. 2024 ;[citado 2024 set. 29 ] Available from: https://www.lasphys.com/workshops/abstracts/files/2024/78/9a/9e/6d4b24912bf60a4d47a61349c7/abstract.pdfVancouver
Araujo JMR. Development of a machine learning model for predicting photophysical parameters of organic molecules [Internet]. Program. 2024 ;[citado 2024 set. 29 ] Available from: https://www.lasphys.com/workshops/abstracts/files/2024/78/9a/9e/6d4b24912bf60a4d47a61349c7/abstract.pdf