Modeling Compact Boron Clusters with the Next Generation of Environment-Dependent Semi-Empirical Hamiltonian
P. Tandy, Ming Yu, C. Leahy, C.S. Jayanthi, and S. Y. Wu

TL;DR
This paper introduces a new environment-dependent semi-empirical Hamiltonian for modeling intermediate-sized boron clusters, accurately capturing their complex bonding and predicting stable structures up to 768 atoms.
Contribution
The development of a transferability and robust semi-empirical Hamiltonian specifically tailored for boron clusters, enabling detailed exploration of their stable structures and bonding.
Findings
Over 230 stable boron cluster structures identified.
Icosahedral B12-based clusters are most stable for large sizes.
Spherical and cage-like clusters are competitive at smaller sizes.
Abstract
A highly efficient semi-empirical Hamiltonian has been developed and applied to model the compact boron clusters with the intermediate size. The Hamiltonian, in addition to the inclusion of the environment-dependent interactions and electron-electron correlations with the on-site charge calculated self-consistently, has contained the environment-dependent excitation orbital energy to take into account the atomic aggregation effect on the atomic orbitals. The Hamiltonian for boron has successfully characterized the electron deficiency of boron and captured the complex chemical bonding in various boron allotropes including the planer and quasi-planer, the convex, the ring, the icosahedra, the fullerene-like clusters, the two-dimensional monolayer sheets, and the alpha boron bulk, demonstrating its transferability, robustness, reliability, and has the predict power. The Hamiltonian has…
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Taxonomy
TopicsBoron and Carbon Nanomaterials Research · Boron Compounds in Chemistry · Machine Learning in Materials Science
