English

SuperVoxHenry Tucker-Enhanced and FFT-Accelerated Inductance Extraction for Voxelized Superconducting Structures

Computational Engineering, Finance, and Science 2021-10-13 v2

Abstract

This paper introduces SuperVoxHenry, an inductance extraction simulator for analyzing voxelized superconducting structures. SuperVoxHenry extends the capabilities of the inductance extractor VoxHenry for analyzing the superconducting structures by incorporating the following enhancements. 1. SuperVoxHenry utilizes a two-fluid model to account for normal currents and supercurrents. 2. SuperVoxHenry introduces the Tucker decompositions to reduce the memory requirement of circulant tensors as well as the setup time of the simulator. 3. SuperVoxHenry incorporates an aggregation-based algebraic multigrid technique to obtain the sparse preconditioner.

Keywords

Cite

@article{arxiv.2105.08627,
  title  = {SuperVoxHenry Tucker-Enhanced and FFT-Accelerated Inductance Extraction for Voxelized Superconducting Structures},
  author = {Mingyu Wang and Cheng Qian and Enrico Di Lorenzo and Luis J. Gomez and Vladimir Okhmatovski and Abdulkadir C. Yucel},
  journal= {arXiv preprint arXiv:2105.08627},
  year   = {2021}
}