An evolutionary algorithm for the global optimization of molecular clusters: application to water, benzene, and benzene cation

JL Llanio-Trujillo, JMC Marques… - The Journal of Physical …, 2011 - ACS Publications
JL Llanio-Trujillo, JMC Marques, FB Pereira
The Journal of Physical Chemistry A, 2011ACS Publications
We have developed an evolutionary algorithm (EA) for the global minimum search of
molecular clusters. The EA is able to discover all the putative global minima of water clusters
up to (H2O) 20 and benzene clusters up to (C6H6) 30. Then, the EA was applied to search
for the global minima structures of (C6H6) n+ with n= 2− 20, some of which were
theoretically studied for the first time. Our results for n= 2− 6 are consistent with previous
theoretical work that uses a similar interaction potential. Excluding the very symmetric global …
We have developed an evolutionary algorithm (EA) for the global minimum search of molecular clusters. The EA is able to discover all the putative global minima of water clusters up to (H2O)20 and benzene clusters up to (C6H6)30. Then, the EA was applied to search for the global minima structures of (C6H6)n+ with n = 2−20, some of which were theoretically studied for the first time. Our results for n = 2−6 are consistent with previous theoretical work that uses a similar interaction potential. Excluding the very symmetric global minimum structure for n = 9, the growth pattern of (C6H6)n+ with n ≥ 7 involves the (C6H6)2+ dimer motif, which is placed off-center in the cluster. Such observation indicates that potentials commonly used in the literature for (C6H6)n+ cannot reproduce the icosahedral-type packing suggested by the available experimental data.
ACS Publications
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