A comprehensive exploration of structural and electronic properties of Molybdenum clusters
Yao Wei, Lev Kantorovich

TL;DR
This study uses advanced DFT and ab initio random structure searching to identify and analyze the lowest energy structures and magnetic properties of molybdenum clusters with up to 10 atoms, providing comprehensive insights.
Contribution
It combines a plane wave DFT method with AIRSS to reliably find global minima of Mo clusters, exploring their stability and magnetic structures with improved precision.
Findings
Identified lowest energy structures for Mo clusters up to 10 atoms.
Highlighted the importance of explicit electron treatment in pseudopotentials.
Confirmed stability of low-energy structures via phonon calculations.
Abstract
Molybdenum clusters, characterised by their unique structure and intriguing catalytic properties, have gained significant attention in recent years. In several existing studies density functional theory (DFT) methods have been used to find the lowest energy Mo clusters and explore their electronic and magnetic structure. In all cases, with the exception of a single recent study, where a genetic algorithm was employed, initial geometries of the clusters, prior to geometry optimisation, were chosen using heuristic approaches based on symmetry considerations and known structures. DFT calculations were performed using different types of pseudopotentials, from hard to soft, and different types of basis sets. However, no comprehensive study has yet been done in which a DFT method with the best control on its precision would be complemented by a reliable global minimum search method to find…
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Taxonomy
TopicsAdvanced Chemical Physics Studies · Machine Learning in Materials Science · Heusler alloys: electronic and magnetic properties
