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Updated: Feb 20, 2026

Computation of Atmospheric Concentrations of Molecular Clusters from ab initio Thermochemistry
Published on: April 8, 2020
Single determinant N-representability and the kernel energy method applied to water clusters
Walter Polkosnik1, Lou Massa1,2
1Department of Physics, The Graduate Center of the City University of New York, 365 5th Avenue, New York, NY, 10016.
The Kernel energy method (KEM) now provides N-representable density matrices for accurate quantum calculations. This extension resolves variational theorem violations, enhancing energy predictions for molecular systems.
Area of Science:
- Quantum Chemistry
- Computational Chemistry
- Theoretical Chemistry
Background:
- The Kernel energy method (KEM) offers accurate energy calculations for large molecules by analyzing molecular subsets (kernels).
- KEM's computational cost scales more favorably than full molecule methods.
- However, KEM-derived energies do not inherently satisfy the variational theorem.
Purpose of the Study:
- To extend KEM for generating a full molecule, single-determinant, N-representable one-body density matrix.
- To ensure the resulting density matrix satisfies the variational theorem.
- To improve the accuracy of KEM energy calculations and address theoretical limitations.
Main Methods:
- A kernel expansion for the one-body density matrix was defined, analogous to KEM's energy expansion.
- The density matrix was converted into a normalized projector using Clinton's algorithm.
- The method was applied to clusters of 3 to 20 water molecules.
Main Results:
- The extended KEM successfully generated a single-determinant N-representable one-body density matrix.
- The resulting density matrix corresponds to a quantum mechanically valid wavefunction that satisfies the variational theorem.
- Energies calculated using the extended method were more accurate than standard KEM results.
- All violations of the variational theorem were resolved.
Conclusions:
- The extended KEM provides a robust method for obtaining N-representable density matrices in quantum chemical calculations.
- This approach enhances energy accuracy and ensures adherence to fundamental quantum mechanical principles like the variational theorem.
- The developed N-representability framework is relevant for applications in quantum crystallography.
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