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Exploring Energy Surface of Gold Nanoclusters by Stochastic Search Method (CROSBI ID 723435)

Prilog sa skupa u zborniku | sažetak izlaganja sa skupa | domaća recenzija

Ljulj, Antonio ; Božičević, Lucija ; Vinković Vrček, Ivana ; Šakić, Davor ; Vrček, Valerije Exploring Energy Surface of Gold Nanoclusters by Stochastic Search Method // Computational Chemistry Day 2022 / Babić, Darko (ur.). Zagreb: Prirodoslovno-matematički fakultet Sveučilišta u Zagrebu, 2022. str. 29-29

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

Povezanost rada

Kemija