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Linear scaling density matrix real time TDDFT: Propagator unitarity and matrix truncation
Conn O'Rourke1, David R Bowler1
1London Centre for Nanotechnology, University College London, 17-19 Gordon St., London WC1H 0AH, United Kingdom.
Density matrix based time dependent density functional theory (TDDFT) offers a computationally efficient method for calculating optical responses in large systems. This approach achieves linear scaling with system size through matrix truncation, enabling studies previously considered impractical.
Area of Science:
- Computational Chemistry
- Quantum Chemistry
- Materials Science
Background:
- Standard time dependent density functional theory (TDDFT) formulations face computational limitations for very large systems.
- Orbital-based propagation in TDDFT can be computationally intensive, restricting the size of systems that can be studied.
- Developing efficient methods to calculate optical responses is crucial for understanding material properties.
Purpose of the Study:
- To present a real-time, density matrix based TDDFT implementation for efficient optical response calculations.
- To investigate the impact of spatial cutoff radii and matrix truncation on computational efficiency and accuracy.
- To explore the linear scaling potential of this TDDFT approach for large-scale systems.
Main Methods:
- Implementation of real-time TDDFT using density matrix propagation.
- Application of spatial cutoff radii to sparse matrices for computational workload reduction.
- Analysis of basis set size and matrix truncation effects on propagator unitarity and optical spectra.
Main Results:
- The density matrix based TDDFT method provides direct access to optical responses of large systems.
- Spatial cutoff radii and matrix truncation significantly reduce computational cost, enabling linear scaling.
- Benchmark tests validate the accuracy of the method, showing its applicability to complex systems.
Conclusions:
- Density matrix based TDDFT with spatial truncation offers a computationally feasible route to study optical properties of large systems.
- The method achieves linear scaling with system size when appropriate density matrix truncation is applied.
- Understanding the interplay between basis set size, truncation range, and accuracy is key to reliable predictions.
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