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Accuracy of Noncovalent Interactions Involving d-Elements by the 1-Determinant Fixed-Node Diffusion Monte Carlo
Vladimír Kolesár1, Matúš Dubecký1,2
1Department of Physics, Faculty of Science, University of Ostrava, 30. dubna 22, 701 03 Ostrava, Czech Republic.
Fixed-node diffusion quantum Monte Carlo (FNDMC) using effective core potentials (ECPs) shows significant biases for d-elements. Higher nuclear charge (Z) in d-group atoms increases FNDMC errors, necessitating cautious application.
Area of Science:
- Quantum Chemistry
- Computational Physics
- Materials Science
Background:
- Accurate prediction of noncovalent interactions is crucial for understanding chemical systems.
- Effective core potentials (ECPs) simplify calculations by treating core electrons implicitly.
- Diffusion Quantum Monte Carlo (FNDMC) is a powerful method for electronic structure calculations.
Purpose of the Study:
- To critically assess the accuracy of ECP-based single-determinant FNDMC for d-element systems.
- To identify and analyze sources of bias in FNDMC calculations involving d-elements.
- To provide practical guidance for using FNDMC with ECPs in these systems.
Main Methods:
- Utilized single-determinant fixed-node diffusion quantum Monte Carlo (SD FNDMC).
- Employed effective core potentials (ECPs) for d-element systems.
- Compared results against a reliable coupled-cluster CCSD(T)/CBS reference.
Main Results:
- SD FNDMC exhibited substantial biases in interaction energy differences for HCu:HCu and HCu:CuH systems, exceeding 2% relative error.
- The primary error source was identified as the higher nuclear charge (Z) of d-group atoms compared to sp elements.
- Bias in SD FNDMC correlates with increased electronic densities and higher nuclear charges.
Conclusions:
- SD FNDMC with ECPs requires cautious application for systems containing d-elements, especially those with high nuclear charges.
- The method's accuracy is compromised by the electronic environment around d-group atoms.
- Further methodological improvements may be needed for reliable FNDMC calculations in these challenging systems.
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