Publications by authors named "Alessandro De Frenza"

A computational procedure is developed for the efficient calculation of derivatives of integrals over non-separable Gaussian-type basis functions, used for the evaluation of gradients of the total energy in quantum-mechanical simulations. The approach, based on symbolic computation with computer algebra systems and automated generation of optimized subroutines, takes full advantage of sparsity and is here applied to first energy derivatives with respect to nuclear displacements and lattice parameters of molecules and materials. The implementation in the Crystal code is presented, and the considerably improved computational efficiency over the previous implementation is illustrated.

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Synopsis of recent research by authors named "Alessandro De Frenza"

  • - Alessandro De Frenza's recent research focuses on enhancing computational methods for quantum-mechanical simulations, specifically regarding the derivatives of integrals over non-separable Gaussian-type basis functions.
  • - The study introduces a novel computational procedure utilizing symbolic computation and automated optimization to efficiently calculate energy derivatives, which are crucial for understanding molecular and material behaviors.
  • - The findings demonstrate a significant improvement in computational efficiency when implemented in the Crystal code, particularly for evaluating first energy derivatives related to nuclear displacements and lattice parameters.