atomic and molecular clusters
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2021 ◽  
Vol 9 ◽  
Author(s):  
María Pilar de Lara-Castells ◽  
Alexander O. Mitrushchenkov

We overview our recent developments on a computational approach addressing quantum confinement of light atomic and molecular clusters (made of atomic helium and molecular hydrogen) in carbon nanotubes. We outline a multi-scale first-principles approach, based on density functional theory (DFT)-based symmetry-adapted perturbation theory, allowing an accurate characterization of the dispersion-dominated particle–nanotube interaction. Next, we describe a wave-function-based method, allowing rigorous fully coupled quantum calculations of the pseudo-nuclear bound states. The approach is illustrated by showing the transition from molecular aggregation to quasi-one-dimensional condensed matter systems of molecular deuterium and hydrogen as well as atomic 4He, as case studies. Finally, we present a perspective on future-oriented mixed approaches combining, e.g., orbital-free helium density functional theory (He-DFT), machine-learning parameterizations, with wave-function-based descriptions.


Author(s):  
Ranita Pal ◽  
Pratim Chattaraj

The discovery of fullerenes was a huge milestone in the scientific community, and with it came the urge to discover and analyze various small and large atomic and molecular clusters...


Author(s):  
A. Méry ◽  
A. N. Agnihotri ◽  
J. Douady ◽  
X. Fléchard ◽  
B. Gervais ◽  
...  

2016 ◽  
Vol 70 (5) ◽  
Author(s):  
Bernd Schütte ◽  
Jan Lahl ◽  
Tim Oelze ◽  
Maria Krikunova ◽  
Marc J.J. Vrakking ◽  
...  

Author(s):  
David J. Wales

Describing a potential energy surface in terms of local minima and the transition states that connect them provides a conceptual and computational framework for understanding and predicting observable properties. Visualizing the potential energy landscape using disconnectivity graphs supplies a graphical connection between different structure-seeking systems, which can relax efficiently to a particular morphology. Landscapes involving competing morphologies support multiple potential energy funnels, which may exhibit characteristic heat capacity features and relaxation time scales. These connections between the organization of the potential energy landscape and structure, dynamics and thermodynamics are common to all the examples presented, ranging from atomic and molecular clusters to biomolecules and soft and condensed matter. Further connections between motifs in the energy landscape and the interparticle forces can be developed using symmetry considerations and results from catastrophe theory.


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