Semiclassical dynamics is able to reproduce quantum effects from classical dynamics runs, allowing the vibrational study of very large dimensional systems. Adiabatic switching has already proven capable of improving precision and accuracy of semiclassical results of challenging model potentials and small molecular systems. I extended the technique to larger molecular systems, whose semiclassical spectrum is usually collected by means of a single run evolved with ab initio “on-the-fly” calculations. This application has been benchmarked on small molecules and then tested on glycine, improving the pre-existing SC calculations. Finally, this new approach has permitted a preliminary study of the vibrational spectrum of the 17-atom proline, a still open problem in theoretical and experimental chemistry.

Using AS SCIVR to understand Proline vibrational spectrum / G. Botti, C.D. Aieta, M. Ceotto, R. Conte. ((Intervento presentato al convegno Mol Sim Eng 2023 tenutosi a Milano nel 2023.

Using AS SCIVR to understand Proline vibrational spectrum

G. Botti;C.D. Aieta;M. Ceotto;R. Conte
2023

Abstract

Semiclassical dynamics is able to reproduce quantum effects from classical dynamics runs, allowing the vibrational study of very large dimensional systems. Adiabatic switching has already proven capable of improving precision and accuracy of semiclassical results of challenging model potentials and small molecular systems. I extended the technique to larger molecular systems, whose semiclassical spectrum is usually collected by means of a single run evolved with ab initio “on-the-fly” calculations. This application has been benchmarked on small molecules and then tested on glycine, improving the pre-existing SC calculations. Finally, this new approach has permitted a preliminary study of the vibrational spectrum of the 17-atom proline, a still open problem in theoretical and experimental chemistry.
6-ott-2023
Theoretical Chemistry; Computational Chemistry; Vibrational Spectroscopy; Semiclassical Dynamics; Semiclassical Spectroscopy;
Settore CHIM/02 - Chimica Fisica
https://sites.google.com/site/molsimeng/home/molsimeng-2023
Using AS SCIVR to understand Proline vibrational spectrum / G. Botti, C.D. Aieta, M. Ceotto, R. Conte. ((Intervento presentato al convegno Mol Sim Eng 2023 tenutosi a Milano nel 2023.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2434/1008666
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