MetalHydrideEnth

Batalović, Katarina; Radaković, Jana; Kuzmanović, Bojana; Medić Ilić, Mirjana; Paskaš Mamula, Bojana

doi:10.17632/4tpmdzxtf6.1

Nema prikaza

2022

Preuzimanje 🢃

hydrides.json (46.84Kb)

paper1_v3_12_8_8mae_drugi.hdf5 (434.0Kb)

scaler_paper1_v3 (594bajtovi)

Autori

Paskaš Mamula, Bojana

Skup podataka (Objavljena verzija)

Metapodaci

Prikaz svih podataka o dokumentu

Apstrakt

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 '.

Ključne reči:

metal hydride / dataset

Izvor:
Mendeley Data, 2022

Napomena:

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

TY  - 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 . .