Maggio, Andrea ;
Liang, Yue ;
Paoloni, Lorenzo ;
Li, Weixing ;
Pinillos, Paul ;
Coccia, Tommaso ;
Sun, Fufei ;
Song, Wentao ;
Maris, Assimo ;
Evangelisti, Luca ;
Melandri, Sonia
(2026)
Data - Employment of a model to study large amplitude motions in benzylamines.
University of Bologna.
DOI
10.6092/unibo/amsacta/8893.
[Dataset]
Full text disponibile come:
Abstract
To reproduce the experimental splittings observed in benzylamines, we developed a numerical 2D model to solve the rovibrational problem within a reduced-dimensionality framework. In this work, the model is applied using two dihedral angles, τ₁ and τ₂, as leading coordinates, describing the coupled large-amplitude intramolecular motions involving the amino group and the benzyl moiety. These coordinates define a multidimensional periodic motion, whose characteristics are strongly influenced by the substitution pattern on the phenyl ring.
This dataset contains the computational data obtained from Gaussian16 concerning three molecular systems (benzylamine, 2F-benzylamine, and 3F-benzylamine) analyzed with the developed flexible model.
Abstract
To reproduce the experimental splittings observed in benzylamines, we developed a numerical 2D model to solve the rovibrational problem within a reduced-dimensionality framework. In this work, the model is applied using two dihedral angles, τ₁ and τ₂, as leading coordinates, describing the coupled large-amplitude intramolecular motions involving the amino group and the benzyl moiety. These coordinates define a multidimensional periodic motion, whose characteristics are strongly influenced by the substitution pattern on the phenyl ring.
This dataset contains the computational data obtained from Gaussian16 concerning three molecular systems (benzylamine, 2F-benzylamine, and 3F-benzylamine) analyzed with the developed flexible model.
Tipologia del documento
Dataset
Autori
Settori scientifico-disciplinari
DOI
Contributors
Data di deposito
08 Apr 2026 09:30
Ultima modifica
20 Mag 2026 11:33
Risorse collegate
URI
Altri metadati
Tipologia del documento
Dataset
Autori
Settori scientifico-disciplinari
DOI
Contributors
Data di deposito
08 Apr 2026 09:30
Ultima modifica
20 Mag 2026 11:33
Risorse collegate
URI
Statistica sui download
Statistica sui download
Gestione del documento: