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Linear Response Equations Revisited: A Simple and Efficient Iterative Algorithm.

Riccardo AlessandroIvan GiannìFederica PesTommaso NottoliFilippo Lipparini
Published in: Journal of chemical theory and computation (2023)
We present an algorithm to solve the linear response equations for Hartree-Fock, Density Functional Theory, and the Multiconfigurational Self-Consistent Field method that is both simple and efficient. The algorithm makes use of the well-established symmetric and antisymmetric combinations of trial vectors but further orthogonalizes them with respect to the scalar product induced by the response matrix. This leads to a standard, symmetric block eigenvalue problem in the expansion subspace that can be solved by diagonalizing a symmetric, positive definite matrix half the size of the expansion space. Numerical tests showed that the algorithm is robust and stable.
Keyphrases
  • machine learning
  • density functional theory
  • deep learning
  • neural network
  • molecular dynamics
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