MetalHydrideEnth
Нема приказа
Аутори
Batalović, KatarinaRadaković, Jana
Kuzmanović, Bojana
Medić Ilić, Mirjana
Paskaš Mamula, Bojana
Скуп података (Објављена верзија)
Метаподаци
Приказ свих података о документуАпстракт
Database linking crystal structure, Materials project id, and experimental enthalpy of hydride formation in various metals/intermetallics. Information for the source of the experimental value is provided, along with DOI where available. Also, data is labeled according to data_set value, where 1 labels data points used in training, 2 labels data points used for validation, and 3 are data points used in the test. Data_set=0 are data points not used in model development. In addition, the model and scaler are provided. More details can be found in K.Batalovic et al., 'Predicting heat of hydride formation by the graph neural network – exploring structure-property relation for metal hydrides '.
Кључне речи:
metal hydride / datasetИзвор:
Mendeley Data, 2022Напомена:
- More details can be found in "K.Batalovic et al., 'Predicting heat of hydride formation by the graph neural network – exploring structure-property relation for metal hydrides' " https://vinar.vin.bg.ac.rs/handle/123456789/10348
Повезане информације:
- Повезани садржај
https://vinar.vin.bg.ac.rs/handle/123456789/10348
Колекције
Институција/група
VinčaTY - DATA AU - Batalović, Katarina AU - Radaković, Jana AU - Kuzmanović, Bojana AU - Medić Ilić, Mirjana AU - Paskaš Mamula, Bojana PY - 2022 UR - https://vinar.vin.bg.ac.rs/handle/123456789/11282 AB - Database linking crystal structure, Materials project id, and experimental enthalpy of hydride formation in various metals/intermetallics. Information for the source of the experimental value is provided, along with DOI where available. Also, data is labeled according to data_set value, where 1 labels data points used in training, 2 labels data points used for validation, and 3 are data points used in the test. Data_set=0 are data points not used in model development. In addition, the model and scaler are provided. More details can be found in K.Batalovic et al., 'Predicting heat of hydride formation by the graph neural network – exploring structure-property relation for metal hydrides '. T2 - Mendeley Data T1 - MetalHydrideEnth DO - 10.17632/4tpmdzxtf6.1 ER -
@misc{ author = "Batalović, Katarina and Radaković, Jana and Kuzmanović, Bojana and Medić Ilić, Mirjana and Paskaš Mamula, Bojana", year = "2022", abstract = "Database linking crystal structure, Materials project id, and experimental enthalpy of hydride formation in various metals/intermetallics. Information for the source of the experimental value is provided, along with DOI where available. Also, data is labeled according to data_set value, where 1 labels data points used in training, 2 labels data points used for validation, and 3 are data points used in the test. Data_set=0 are data points not used in model development. In addition, the model and scaler are provided. More details can be found in K.Batalovic et al., 'Predicting heat of hydride formation by the graph neural network – exploring structure-property relation for metal hydrides '.", journal = "Mendeley Data", title = "MetalHydrideEnth", doi = "10.17632/4tpmdzxtf6.1" }
Batalović, K., Radaković, J., Kuzmanović, B., Medić Ilić, M.,& Paskaš Mamula, B.. (2022). MetalHydrideEnth. in Mendeley Data. https://doi.org/10.17632/4tpmdzxtf6.1
Batalović K, Radaković J, Kuzmanović B, Medić Ilić M, Paskaš Mamula B. MetalHydrideEnth. in Mendeley Data. 2022;. doi:10.17632/4tpmdzxtf6.1 .
Batalović, Katarina, Radaković, Jana, Kuzmanović, Bojana, Medić Ilić, Mirjana, Paskaš Mamula, Bojana, "MetalHydrideEnth" in Mendeley Data (2022), https://doi.org/10.17632/4tpmdzxtf6.1 . .