Aleotti, Flavia ;
Soprani, Lorenzo ;
Rodríguez-Almeida, Lucas Francisco ;
Calcagno, Francesco ;
Loprete, Fabio ;
Rivalta, Ivan ;
Orlandi, Silvia ;
Canè, Elisabetta ;
Garavelli, Marco ;
Conti, Irene ;
Muccioli, Luca
(2024)
Data related to communication: "Is DFT enough? Towards Accurate High-Throughput Computational Screening of Azobenzenes for Molecular Solar Thermal Applications".
University of Bologna.
DOI
10.6092/unibo/amsacta/7894.
[Dataset]
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Abstract
This dataset contains data related to the publication "Is DFT enough? Towards Accurate High-Throughput Computational Screening of Azobenzenes for Molecular Solar Thermal Applications" (DOI: 10.1039/D4ME00183D). It contains cartesian structures of azobenzene and five of its derivatives, molecular orbitals and the raw data for potential energy profiles (at XMS-CASPT2/SA-2-CASSCF(10,8)/ANO-R1, BP86/def2-SVP and BS-BP86/def2-SVP levels of theory) along the thermal isomerization reaction paths of five molecules: azobenzene (AB), 2,2',6,6'-tetrafluoroazobenzene (F2-AB-F2), 4,4'-dinitroazobenzene (NO2-AB-NO2), 4,4'-diaminoazobenzene (NH2-AB-NH2) and 4,4'-nitroaminoazobenzene (NO2-AB-NH2, also known as disperse orange 3).
Abstract
This dataset contains data related to the publication "Is DFT enough? Towards Accurate High-Throughput Computational Screening of Azobenzenes for Molecular Solar Thermal Applications" (DOI: 10.1039/D4ME00183D). It contains cartesian structures of azobenzene and five of its derivatives, molecular orbitals and the raw data for potential energy profiles (at XMS-CASPT2/SA-2-CASSCF(10,8)/ANO-R1, BP86/def2-SVP and BS-BP86/def2-SVP levels of theory) along the thermal isomerization reaction paths of five molecules: azobenzene (AB), 2,2',6,6'-tetrafluoroazobenzene (F2-AB-F2), 4,4'-dinitroazobenzene (NO2-AB-NO2), 4,4'-diaminoazobenzene (NH2-AB-NH2) and 4,4'-nitroaminoazobenzene (NO2-AB-NH2, also known as disperse orange 3).
Tipologia del documento
Dataset
Autori
Parole chiave
Azobenzene, molecular solar thermal fuels (MOST), CASPT2, DFT, isomerization barrier
Settori scientifico-disciplinari
DOI
Contributors
Data di deposito
13 Dic 2024 10:52
Ultima modifica
13 Dic 2024 10:52
Risorse collegate
Nome del Progetto
Programma di finanziamento
International Foundation Big Data and Artificial Intelligence for Human Development (IFAB) - IFAB Call for Projects 2022
URI
Altri metadati
Tipologia del documento
Dataset
Autori
Parole chiave
Azobenzene, molecular solar thermal fuels (MOST), CASPT2, DFT, isomerization barrier
Settori scientifico-disciplinari
DOI
Contributors
Data di deposito
13 Dic 2024 10:52
Ultima modifica
13 Dic 2024 10:52
Risorse collegate
Nome del Progetto
Programma di finanziamento
International Foundation Big Data and Artificial Intelligence for Human Development (IFAB) - IFAB Call for Projects 2022
URI
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