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Computation of Atmospheric Concentrations of Molecular Clusters from ab initio Thermochemistry
Published on: April 8, 2020
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Transition-state searches in metal clusters by first-principle methods
Domingo Cruz-Olvera1, Alejandra de la Trinidad Vasquez, Gerald Geudtner
1Departamento de Quı́mica, CINVESTAV , Av. Instituto Politécnico Nacional 2508, AP 14-740, México D.F. 07000, México.
The Journal of Physical Chemistry. A
|July 30, 2014
Summary
This study introduces a new computational method to map complex reaction pathways in sodium clusters. It helps visualize nonintuitive chemical transformations in metal clusters.
Area of Science:
- Computational Chemistry
- Materials Science
- Chemical Physics
Background:
- Determining chemical reactivity in metal clusters is challenging due to complex transition state structures.
- Understanding these structures is crucial for predicting cluster behavior and reactivity.
Purpose of the Study:
- To develop and apply a computational method for locating and characterizing transition states in small sodium clusters.
- To elucidate nonintuitive rearrangement mechanisms in metal clusters.
Main Methods:
- Employed a hierarchical transition-state algorithm within the deMon2k code.
- Combined double-ended interpolation and uphill trust region methods.
- Utilized Born-Oppenheimer molecular dynamics for initial minimum structures and intrinsic reaction coordinates to connect states.
Main Results:
- Successfully located transition states for sodium clusters with 6-10 atoms.
- Demonstrated the algorithm's capability to handle nonintuitive structural rearrangements.
- Provided a clear pathway analysis using intrinsic reaction coordinates.
Conclusions:
- The hierarchical transition-state algorithm is effective for studying complex reaction mechanisms in metal clusters.
- This approach simplifies the investigation of nonintuitive structural changes.
- Offers a valuable tool for understanding the chemical reactivity of nanoscale materials.
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