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Nodal Error behind Discrepancies between Coupled Cluster and Diffusion Monte Carlo
S Lambie1, P López Ríos1, D Kats1
1Max Planck Institute for Solid State Research, Heisenbergstraße 1, Stuttgart 70569, Germany.
Computational quantum chemistry methods struggle with noncovalent interactions. Coupled cluster (CC) theory is confirmed as the benchmark, with diffusion Monte Carlo (DMC) errors primarily due to the fixed-node approximation.
Area of Science:
- Computational quantum chemistry
- Electronic structure theory
- Chemical physics
Background:
- Noncovalent interactions are crucial in chemistry and biology but challenging computationally.
- Coupled cluster (CC) theory and diffusion Monte Carlo (DMC) are advanced methods for studying these interactions.
- Discrepancies between CC and DMC results for interaction energies of noncovalently bound dimers have been noted.
Purpose of the Study:
- To systematically investigate the sources of error in CC and DMC calculations of noncovalent interactions.
- To determine the primary cause of discrepancies between CC and DMC methods.
- To establish a reliable benchmark method for studying noncovalent interactions.
Main Methods:
- Rigorous examination of approximations in CC and DMC methods.
- Utilizing acetic acid dimer and water-peptide systems for testing.
- Employing stringently optimized backflow wave functions in DMC calculations.
Main Results:
- Significant discrepancies between CC and DMC methods are primarily attributed to the fixed-node error in DMC.
- Approximations in coupled cluster calculations do not substantially affect the results.
- The fixed-node error in Slater-Jastrow DMC is identified as the dominant error source.
Conclusions:
- Coupled cluster (CC) theory should be considered the benchmark for calculating noncovalent interactions in systems like hydrogen-bonded dimers.
- Diffusion Monte Carlo (DMC) results are significantly impacted by the fixed-node approximation.
- This study provides insights for developing improved fixed-node approximations in DMC for future research.
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