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A Method for Determination and Simulation of Permeability and Diffusion in a 3D Tissue Model in a Membrane Insert System for Multi-well Plates
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Non-orthogonal determinants in multi-Slater-Jastrow trial wave functions for fixed-node diffusion Monte Carlo.

Shivesh Pathak1, Lucas K Wagner1

  • 1Department of Physics, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801-3028, USA.

The Journal of Chemical Physics
|December 24, 2018
PubMed
Summary
This summary is machine-generated.

Optimizing non-orthogonal determinants in Quantum Monte Carlo (QMC) calculations improves accuracy and efficiency. This method enhances variational and fixed-node diffusion Monte Carlo energies for molecular systems.

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Area of Science:

  • Computational Chemistry
  • Quantum Mechanics
  • Materials Science

Background:

  • Accurate Quantum Monte Carlo (QMC) calculations rely on effective variational trial wave functions.
  • Compact wave functions are crucial for improving the efficiency and accuracy of ab initio QMC methods.

Purpose of the Study:

  • To investigate the use of multi-Slater-Jastrow trial wave functions with non-orthogonal determinants.
  • To assess the impact of optimizing identical single-particle orbitals independently within separate determinants.

Main Methods:

  • Employed variational and fixed-node diffusion Monte Carlo (FN-DMC) methods.
  • Utilized a C2 molecule as a test case for calculations.
  • Optimized non-orthogonal determinants within multi-Slater-Jastrow wave functions.

Main Results:

  • Non-orthogonal determinant optimization consistently improved variational and FN-DMC energies by tenths of an eV.
  • Achieved comparable or better accuracy in FN-DMC with fewer non-orthogonal determinants than orthogonal ones.
  • Demonstrated enhanced energy computations using non-orthogonal determinants compared to orthogonal counterparts.

Conclusions:

  • Trial wave functions incorporating non-orthogonal determinants offer a significant advantage in QMC calculations.
  • This approach leads to more accurate and potentially more efficient electronic structure computations.
  • The findings suggest a promising avenue for advancing ab initio QMC methodologies.