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Positivity preserving density matrix minimization at finite temperatures via square root.
Jacob M Leamer1, William Dawson2, Denys I Bondar1
1Department of Physics and Engineering Physics, Tulane University, 6823 St. Charles Ave., New Orleans, Louisiana 70118, USA.
We introduce Wave Operator Minimization (WOM) for calculating the Fermi-Dirac density matrix in electronic structure. This physically consistent method efficiently models cooling to finite temperatures, regardless of system size.
Area of Science:
- Computational physics
- Quantum chemistry
- Materials science
Background:
- Accurate calculation of electronic structure at finite temperatures is crucial for understanding material properties.
- Existing methods for density matrix calculation can face challenges with physicality and computational scaling.
- The Fermi-Dirac density matrix is fundamental for describing systems in thermal equilibrium.
Purpose of the Study:
- To introduce a novel, physically constrained method for computing the Fermi-Dirac density matrix.
- To demonstrate the efficiency and scalability of the proposed method for electronic structure problems.
- To provide a robust alternative for finite-temperature electronic structure calculations.
Main Methods:
- Wave Operator Minimization (WOM) method is presented, utilizing the wave operator (square root of the density matrix).
- The method models a cooling process from an infinite temperature state to a target finite temperature.
- Both grand canonical and canonical ensembles are considered for the calculations.
Main Results:
- The WOM method ensures physicality by construction through the use of the wave operator.
- The convergence rate of the WOM method is independent of the number of atoms in the system, indicating excellent scalability.
- Successful application to electronic structure problems at finite temperatures is demonstrated.
Conclusions:
- Wave Operator Minimization offers a physically sound and computationally efficient approach for finite-temperature electronic structure calculations.
- The method's scalability suggests its applicability to large and complex systems.
- This work aims to stimulate further research into density matrix minimization techniques.
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