ReaxFF Parameter Set for Boron Clusters and Icosahedral Boron Crystals: Comparison with Density Functional Theory and
Amin Ahmadisharaf1, Adri C T van Duin2, Bin Liu1
1Tim Taylor Department of Chemical Engineering, Kansas State University, Manhattan, Kansas 66506, United States.
Researchers refined ReaxFF parameters to accurately simulate the synthesis of icosahedral boron crystals. This advancement aids in predicting conditions for high-quality crystal growth, crucial for superhard materials and semiconductors.
Area of Science:
- Materials Science
- Computational Chemistry
- Condensed Matter Physics
Background:
- Icosahedral boron materials show promise for applications in superhard materials, semiconductors, and energy storage.
- Synthesizing high-quality icosahedral boron crystals remains a significant challenge hindering technological development.
- Accurate computational models are needed to predict synthesis conditions for these advanced materials.
Purpose of the Study:
- To develop and refine ReaxFF parameters for simulating the nucleation and growth of icosahedral boron crystals.
- To improve the computational prediction of synthesis conditions for high-quality icosahedral boron.
Main Methods:
- Tested and refined ReaxFF parameters by matching relative energies of small boron clusters to Density Functional Theory (DFT) calculations.
- Utilized a training set of B80 clusters, including core-shell and single-shell structures.
- Validated the refined parameters against DFT for a test set of 58 boron clusters (8-103 atoms) and compared with existing potentials.
Main Results:
- The refined ReaxFF parameter set accurately ranked B80 clusters, outperforming most existing parameters and some machine-learning potentials.
- Achieved improved agreement with DFT for boron clusters ranging from 8 to 103 atoms.
- Simulations showed enhanced local icosahedral structure in crystallization and yielded a boron solubility in molten nickel consistent with experimental data.
Conclusions:
- The refined ReaxFF parameters provide a more accurate computational tool for studying icosahedral boron crystal formation.
- This advancement facilitates the prediction of synthesis conditions, paving the way for practical applications of these materials.
- The improved model offers better insights into boron cluster energies, crystallization processes, and solubility.
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