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Acceleration of Self-Consistent Field Calculations Using Basis Set Projection and Many-Body Expansion as Initial

Fiona C Y Yu1, Christopher Seidl2, Elise Palethorpe1

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This summary is machine-generated.

Optimizing initial guesses in Self-Consistent Field (SCF) calculations using basis set projection (BSP) and many-body expansion (MBE) methods significantly reduces computational time. These advanced techniques outperform traditional methods for Hartree-Fock and DFT calculations.

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Area of Science:

  • Computational chemistry
  • Quantum chemistry
  • Theoretical chemistry

Background:

  • Self-Consistent Field (SCF) calculations are fundamental in quantum chemistry.
  • The initial guess significantly impacts SCF convergence speed and computational cost.
  • Traditional superposition of atomic densities (SAD) may not be optimal for all systems.

Purpose of the Study:

  • To evaluate the efficiency of basis set projection (BSP) and many-body expansion (MBE) for SCF initial guesses.
  • To introduce and assess a hybrid MBE-BSP initial guess method.
  • To compare these methods against SAD for Hartree-Fock (HF) and DFT (B3LYP, MN15) calculations.

Main Methods:

  • Implementation and testing of BSP, MBE, and a hybrid MBE-BSP initial guess approach.
  • Assessment of computational time, including initial guess generation and SCF iterations.
  • Application to systems up to 14,386 basis functions, including challenging metalloprotein and triplet states.

Main Results:

  • BSP, MBE, and hybrid methods show significant improvements over SAD.
  • Total wall-time reductions of up to 27.6% were achieved across HF, B3LYP, and MN15.
  • Speedups were observed for difficult systems, though triplet states showed increased convergence failures.

Conclusions:

  • Advanced initial guess strategies like BSP and MBE offer substantial computational savings in SCF calculations.
  • The hybrid MBE-BSP method provides a competitive alternative.
  • Careful consideration of initial guess methods is crucial for optimizing quantum chemical computations, especially for complex systems.