https://doi.org/10.1140/epjd/s10053-020-00035-x
Regular Article - Topical Issue
Swarm intelligence unravels the confinement effects for tiny noble gas clusters within carbon nanotubes
School of Chemistry, Indian Institute of Science Education and Research Thiruvananthapuram (IISER TVM), Vithura, 695551, Thiruvananthapuram, India
Received:
10
August
2020
Accepted:
18
December
2020
Published online:
12
January
2021
Inspired by the myriad manifestations of confinement effects for atoms and molecules encapsulated within carbon nanotubes (CNTs), herein, we explore the role of the physical dimensions of the CNTs in controlling the optimal configurations of confined noble gas clusters. We utilize the particle swarm optimization (PSO) technique together with the continuum approximation for CNTs to arrive at the minimum energy configurations of the encapsulated He, Ne and Ar clusters in the size range 2–10. The ease with which a global search technique such as PSO can track down the minima on complex potential energy surfaces within reasonable computational times enables probing a wide spectrum of CNTs covering nanotubes with lengths in the 10–50 Å range and possessing radii of 3–6 Å. Our findings indicate a strong correlation between the most stable cluster configuration and the physical dimensions of the CNT within which it is confined. Notably, the confined cluster geometries encompass linear, zigzag and spiral configurations, in striking contrast to their isolated geometries. Guided by the chemical intuition, we have further expanded the search space and examined the possibility of exohedral binding in necessary cases. The implementation of the PSO along with the continuum approximation can generate excellent starting geometries amenable for further analysis using highly accurate first-principles calculations.
Electronic supplementary material The online version of this article (https://doi.org/10.1140/epjd/s10053-020-00035-x) contains supplementary information, which is available to authorized users.
© EDP Sciences, SIF and Springer-Verlag GmbH Germany, part of Springer Nature 2021