Quantum-Mechanical Assessment of the Energetics of Silver Decahedron Nanoparticles

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Publikace nespadá pod Ústav výpočetní techniky, ale pod Přírodovědeckou fakultu. Oficiální stránka publikace je na webu muni.cz.
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POLSTEROVÁ Svatava FRIÁK Martin VŠIANSKÁ Monika ŠOB Mojmír

Rok publikování 2020
Druh Článek v odborném periodiku
Časopis / Zdroj Nanomaterials
Fakulta / Pracoviště MU

Přírodovědecká fakulta

Citace
www https://doi.org/10.3390/nano10040767
Doi http://dx.doi.org/10.3390/nano10040767
Klíčová slova nanoparticles; thermodynamics; silver; decahedron; excess energy; ab initio calculations
Popis We present a quantum-mechanical study of silver decahedral nanoclusters and nanoparticles containing from 1 to 181 atoms in their static atomic configurations corresponding to the minimum of the ab initio computed total energies. Our thermodynamic analysis compares T = 0 K excess energies (without any excitations) obtained from a phenomenological approach, which mostly uses bulk-related properties, with excess energies from ab initio calculations of actual nanoclusters/nanoparticles. The phenomenological thermodynamic modeling employs (i) the bulk reference energy, (ii) surface energies obtained for infinite planar (bulk-related) surfaces and (iii) the bulk atomic volume. We show that it can predict the excess energy (per atom) of nanoclusters/nanoparticles containing as few as 7 atoms with the error lower than 3%. The only information related to the nanoclusters/nanoparticles of interest, which enters the phenomenological modeling, is the number of atoms in the nanocluster/nanoparticle, the shape and the crystallographic orientation(s) of facets. The agreement between both approaches is conditioned by computing the bulk-related properties with the same computational parameters as in the case of the nanoclusters/nanoparticles but, importantly, the phenomenological approach is much less computationally demanding. Our work thus indicates that it is possible to substantially reduce computational demands when computing excess energies of nanoclusters and nanoparticles by ab initio methods.
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