Pregled bibliografske jedinice broj: 1234127
Absence of isotope effects in the photo-induced desorption of CO from saturated Pd(111) at high laser fluence
Absence of isotope effects in the photo-induced desorption of CO from saturated Pd(111) at high laser fluence // Chemical Physics, 558 (2022), 111518, 8 doi:10.1016/j.chemphys.2022.111518 (međunarodna recenzija, članak, znanstveni)
CROSBI ID: 1234127 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Absence of isotope effects in the photo-induced desorption of CO from saturated Pd(111) at high laser fluence
Autori
Muzas, A.S. ; Serrano Jiménez, Alfredo ; Ovčar, Juraj ; Lončarić, Ivor ; Alducin, Maite ; Juaristi, J. Iñaki
Izvornik
Chemical Physics (0301-0104) 558
(2022);
111518, 8
Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni
Ključne riječi
Photo-induced desorption ; Isotope effect ; Neural network ; Langevin dynamics
Sažetak
Neural network-based potential energy surfaces are currently gaining relevance in the context of gas-solid dynamics. In this work, we use this methodology to theoretically explore femtosecond laser pulse induced desorption of CO from the Pd(111) surface with a coverage of 0.75 ML. We performed molecular dynamics simulations in the high laser fluence regime on two different CO isotopes, 12C16O and 13C18O, in order to search for possible isotope effects affecting the photo-induced desorption. According to our findings, isotope effects of relevance do not appear in desorption probabilities once the whole process has finished after 50 ps. However, for those molecules desorbed with the highest translational kinetic energies, we obtain that 12C16O molecules are more vibrationally excited than 13C18O. This mostly happens as a consequence of the interaction of adsorbed CO with the laser-excited electrons in the substrate.
Izvorni jezik
Engleski
Znanstvena područja
Fizika
POVEZANOST RADA
Projekti:
HRZZ-UIP-2020-02-5675 - Povećanje prostorne i vremenske skale modeliranja materijala iz prvih principa pomoću strojnog učenja (ExtMatModelML) (Lončarić, Ivor, HRZZ ) ( CroRIS)
Ustanove:
Institut "Ruđer Bošković", Zagreb
Citiraj ovu publikaciju:
Časopis indeksira:
- Current Contents Connect (CCC)
- Web of Science Core Collection (WoSCC)
- Science Citation Index Expanded (SCI-EXP)
- SCI-EXP, SSCI i/ili A&HCI
- Scopus