2021
DOI: 10.1039/d1nr05653k
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The amorphous-crystalline transition in SinH2m nanoclusters

Abstract: Silicon nanocrystals (NC) have great potential for applications in optoelectronics, photovoltaics and biomedicine. The photo-physical characteristics of these particles strongly depend on whether they are crystalline or amorphous. This structural...

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Cited by 7 publications
(9 citation statements)
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“…The ground-state structures of C n H m molecules were found in a vast compositional area of 1 ≤ n ≤ 20, 0 ≤ m ≤ 2 n + 2 using our recently developed evolutionary variable-composition global optimization technique for nanoclusters, implemented in the USPEX code. , The algorithm performs a joint evolutionary search for all molecules in a given range of compositions and takes advantage of exchange of structural information between different compositions. This method has been applied to various systems ,, and showed speedup of up to 50 times compared to traditional global optimization done separately for each composition.…”
mentioning
confidence: 99%
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“…The ground-state structures of C n H m molecules were found in a vast compositional area of 1 ≤ n ≤ 20, 0 ≤ m ≤ 2 n + 2 using our recently developed evolutionary variable-composition global optimization technique for nanoclusters, implemented in the USPEX code. , The algorithm performs a joint evolutionary search for all molecules in a given range of compositions and takes advantage of exchange of structural information between different compositions. This method has been applied to various systems ,, and showed speedup of up to 50 times compared to traditional global optimization done separately for each composition.…”
mentioning
confidence: 99%
“…12,13 The algorithm performs a joint evolutionary search for all molecules in a given range of compositions and takes advantage of exchange of structural information between different compositions. This method has been applied to various systems 11,14,15 and showed speedup of up to 50 times compared to traditional global optimization done separately for each composition.…”
mentioning
confidence: 99%
“…The method was successfully used for the global optimization of various systems. [42][43][44][45] Next, after the inspection of the evolutionary global optimization results, we performed an additional structure search. It consisted in identifying structural fragments, frequently appearing in the USPEX search, and connecting them in all possible ways, as described in Section 3.…”
Section: Methodsmentioning
confidence: 99%
“…40,41 This method demonstrated 5-50 times higher speed than the traditional USPEX code for each composition. 39,42,43 Global optimization was carried out in two steps. First, we predicted the structures using the Gupta potential 44 using the evolutionary algorithm USPEX coupled with a large-scale atomic/molecular massively parallel simulator (LAMMPS).…”
Section: Methodsmentioning
confidence: 99%
“…40,41 This method demonstrated 5–50 times higher speed than the traditional USPEX code for each composition. 39,42,43…”
Section: Methodsmentioning
confidence: 99%