Saddle Point Search Algorithms for Variational Density Functional Calculations of Excited Electronic States with Self-Interaction Correction
Yorick Leonard Adrian Schmerwitz, N\'uria Urgell Oll\'e, Gianluca, Levi, Hannes J\'onsson

TL;DR
This paper introduces a generalized mode following algorithm for density functional calculations of excited states, effectively targeting saddle points and incorporating self-interaction correction to improve accuracy.
Contribution
It presents a novel saddle point search method that systematically targets specific excited states and extends to include self-interaction correction in density functional theory.
Findings
Efficient convergence to targeted excited states achieved.
Method successfully incorporates self-interaction correction.
Enhanced robustness over traditional optimization algorithms.
Abstract
Excited electronic states of molecules and solids play a fundamental role in fields such as catalysis and electronics. In electronic structure calculations, excited states typically correspond to saddle points on the surface described by the variation of the energy as a function of the electronic degrees of freedom. A direct optimization algorithm based on generalized mode following is presented for density functional calculations of excited states. While conventional direct optimization methods based on quasi-Newton algorithms usually converge to the stationary point closest to the initial guess, even minima, the generalized mode following approach systematically targets a saddle point of a specific order l by following the l lowest eigenvectors of the electronic Hessian up in energy. This approach thereby recasts the challenging saddle point search as a minimization, enabling the use…
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Taxonomy
TopicsSemiconductor Quantum Structures and Devices
