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Communication: automatic code generation enables nuclear gradient computations for fully internally contracted

Matthew K MacLeod1, Toru Shiozaki1

  • 1Department of Chemistry, Northwestern University, 2145 Sheridan Rd., Evanston, Illinois 60208, USA.

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|February 10, 2015
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Summary
This summary is machine-generated.

Researchers developed analytical nuclear gradients for complete active space second-order perturbation theory (CASPT2) using automated code generation. This method accurately calculates molecular properties, demonstrated by porphin ionization potentials.

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Area of Science:

  • Quantum Chemistry
  • Computational Chemistry
  • Theoretical Chemistry

Background:

  • Accurate calculation of molecular properties is crucial for understanding chemical reactions and molecular behavior.
  • Complete Active Space Second-Order Perturbation Theory (CASPT2) is a powerful method for describing electronic structures, but analytical gradients are computationally demanding.
  • Efficient and accurate calculation of energy derivatives is essential for geometry optimization and reaction pathway analysis.

Purpose of the Study:

  • To report the implementation of analytical nuclear gradients for fully internally contracted CASPT2.
  • To develop an automated code generator for handling CASPT2 energy and its derivatives.
  • To demonstrate the capability of the new implementation through calculations on the porphin molecule.

Main Methods:

  • Development of an automated code generator for spin-free CASPT2 energy and derivative formulas.
  • Solution of the underlying complete active space self-consistent field (CASSCF) and Z-vector equations using density fitting.
  • Application to calculate vertical and adiabatic ionization potentials.

Main Results:

  • Successful implementation of analytical nuclear gradients for internally contracted CASPT2.
  • The automated code generator efficiently handles complex derivative calculations.
  • Accurate calculation of vertical and adiabatic ionization potentials for porphin.

Conclusions:

  • The developed method provides an efficient and accurate way to compute analytical nuclear gradients for CASPT2.
  • This implementation facilitates geometry optimizations and reaction dynamics studies in quantum chemistry.
  • The porphin ionization potential calculations validate the robustness and applicability of the new approach.