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Updated: May 28, 2026

Computation of Atmospheric Concentrations of Molecular Clusters from ab initio Thermochemistry
Published on: April 8, 2020
An efficient linear scaling procedure for constructing localized orbitals of large molecules based on the
1School of Chemistry and Chemical Engineering, Key Laboratory of Mesoscopic Chemistry of MOE, Institute of Theoretical and Computational Chemistry, Nanjing University, Nanjing 210093, People's Republic of China.
We developed a new linear-scaling algorithm for Boys localized molecular orbitals. This method efficiently computes localized orbitals for large systems, showing asymptotically linear computational time with system size.
Area of Science:
- Computational chemistry
- Quantum chemistry
- Materials science
Background:
- Boys localized molecular orbitals (LMOs) are crucial for interpreting electronic structure.
- Calculating LMOs, especially for large systems, can be computationally intensive.
- Efficient algorithms are needed to overcome computational bottlenecks in quantum chemistry.
Purpose of the Study:
- To develop a linear-scaling algorithm for efficiently obtaining Boys localized molecular orbitals.
- To enable the calculation of Boys LMOs for larger and more complex molecular systems.
- To reduce the computational cost associated with Boys localization.
Main Methods:
- Developed a two-step algorithm: Cholesky decomposition of the density matrix followed by Boys localization.
- Utilized sparse matrix techniques and the inherent locality of Cholesky molecular orbitals.
- Implemented linear-scaling approaches for both computational steps.
Main Results:
- The algorithm achieves linear-scaling computational complexity for Boys localization.
- Successfully applied to diverse systems: alpha-helix peptides, water clusters, and protein molecules.
- Demonstrated asymptotically linear computational time as system size increases.
Conclusions:
- The developed algorithm provides an efficient and scalable method for Boys localization.
- Enables accurate electronic structure analysis of large molecular systems.
- Represents a significant advancement in computational quantum chemistry for LMO analysis.
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