Exploring Energy Surface of Gold Nanoclusters by Stochastic Search Method (CROSBI ID 723435)
Prilog sa skupa u zborniku | sažetak izlaganja sa skupa | domaća recenzija
Podaci o odgovornosti
Ljulj, Antonio ; Božičević, Lucija ; Vinković Vrček, Ivana ; Šakić, Davor ; Vrček, Valerije
engleski
Exploring Energy Surface of Gold Nanoclusters by Stochastic Search Method
Over the years, stochastic search procedure for producing starting structures on the potential energy surface has evolved from 50 lines of Fortran code with simple and rugged idea, to a variety of different flavors and variants. We have developed some of them and implemented in a web-page variant [1]. The efficiency of our “kick” procedure was tested on the energy landscape of small gold clusters Aun (n = 2, 4, 6, 8, 10). Most of the minima, reported earlier in benchmark studies, were easily reproduced. In all cases (n ≥ 4) new configurations were discovered. A number of new minima located were calculated more stable than the previously reported structures. Some of clusters, reported in earlier studies, were not found by our “kick” procedure. This was due to nature of those stationary points. Instead of minima, they were saddle points with symmetry enforced optimization procedures.
gold nanoparticles, cluster, stochastic search, PES
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Podaci o prilogu
29-29.
2022.
objavljeno
Podaci o matičnoj publikaciji
Computational Chemistry Day 2022
Babić, Darko
Zagreb: Prirodoslovno-matematički fakultet Sveučilišta u Zagrebu
978-953-6076-94-9
Podaci o skupu
Computational Chemistry Day 2023
poster
24.09.2022-24.09.2022
Zagreb, Hrvatska