Efficient Adaptive Computation of the Dynamics of Mott Transistors
Winfried Auzinger, Lukas Einramhof, Karsten Held, Anna Kauch, Othmar, Koch, Clemens Watzenb\"ock, and Ewa Weinm\"uller

TL;DR
This paper develops and analyzes adaptive Magnus-type integrators for simulating Mott transistor dynamics, effectively handling rapidly changing electromagnetic fields with error estimators for improved accuracy.
Contribution
It introduces an adaptive numerical method tailored for Mott transistor simulations, addressing challenges posed by unsmooth external potentials.
Findings
Adaptive integrators improve accuracy in Mott transistor simulations.
Error estimators effectively guide time step selection.
Adaptive approach outperforms fixed-step methods in complex scenarios.
Abstract
We investigate time-adaptive Magnus-type integrators for the numerical approximation of a Mott transistor. The rapidly attenuating electromagnetic field calls for adaptive choice of the time steps. As a basis for step selection, asymptotically correct defect-based estimators of the local error are employed. We analyze the error of the numerical approximation in the presence of the unsmooth external potential and demonstrate the advantages of the adaptive approach.
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Taxonomy
TopicsModel Reduction and Neural Networks · Numerical methods for differential equations · Matrix Theory and Algorithms
