On the existence of the optimal order for wavefunction extrapolation in Born-Oppenheimer molecular dynamics
Jun Fang, Xingyu Gao, Haifeng Song, Han Wang

TL;DR
This paper investigates the optimal order of wavefunction extrapolation in Born-Oppenheimer molecular dynamics, revealing that an intermediate order minimizes SCF iterations and depends on simulation parameters, with implications for computational efficiency.
Contribution
It provides a theoretical and numerical analysis showing the existence of an optimal extrapolation order and its dependence on simulation parameters, which was previously not well understood.
Findings
Optimal extrapolation order exists and minimizes SCF iterations.
Optimal order increases with larger MD time steps and stricter SCF criteria.
Alignment schemes are equivalent and do not affect extrapolation accuracy.
Abstract
Wavefunction extrapolation greatly reduces the number of self-consistent field (SCF) iterations and thus the overall computational cost of Born-Oppenheimer molecular dynamics (BOMD) that is based on the Kohn-Sham density functional theory. Going against the intuition that the higher order of extrapolation possesses a better accuracy, we demonstrate, from both theoretical and numerical perspectives, that the extrapolation accuracy firstly increases and then decreases with respect to the order, and an optimal extrapolation order in terms of minimal number of SCF iterations always exists. We also prove that the optimal order tends to be larger when using larger MD time steps or more strict SCF convergence criteria. By example BOMD simulations of a solid copper system, we show that the optimal extrapolation order covers a broad range when varying the MD time step or the SCF convergence…
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