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Random-walk statistics in moment-based O(N) tight binding and applications in carbon nanotubes
Adam D Schuyler1, G S Chirikjian, Jun-Qiang Lu
1Department of Mechanical Engineering, The Johns Hopkins University, Baltimore, Maryland 21218, USA.
A new computational framework efficiently calculates electronic properties of deformed carbon nanotubes using a moment-based tight-binding method. This approach offers significant speedups, scaling as O(M log M) for electronic density of states calculations.
Area of Science:
- Computational Physics
- Materials Science
- Condensed Matter Theory
Background:
- Accurate calculation of electronic properties is crucial for understanding materials.
- Traditional methods for electronic structure calculations can be computationally expensive, especially for large systems like nanotubes.
- Deformed carbon nanotubes exhibit unique electronic properties influenced by their structural changes.
Purpose of the Study:
- To present and analyze a novel moment-based O(N) tight-binding computational framework.
- To apply this framework to investigate the electronic properties of deformed carbon nanotubes.
- To assess the computational efficiency and accuracy of the proposed methods.
Main Methods:
- Developed a moment-based tight-binding atomistic method utilizing maximum entropy and kernel polynomial techniques.
- Employed random-walk statistics for efficient collection of density of states moments.
- Systematically analyzed the computational complexity and accuracy of the developed methods.
Main Results:
- The moment-based approach enables efficient calculation of electronic density of states from local atomic environments.
- For deformed carbon nanotubes, the computational cost per atom scales as O(M log M), where M is the number of moments.
- Demonstrated competitive performance compared to direct diagonalization and Green's function methods.
Conclusions:
- The presented moment-based framework provides a computationally efficient and accurate approach for electronic structure calculations.
- This method is particularly advantageous for large-scale systems like deformed carbon nanotubes.
- The findings pave the way for more extensive studies of complex nanostructured materials.
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