Published November 6, 2026 | Version v2

Simulation scripts and analysis notebooks for "Spin-Wave Phase Shifter Controlled by a Domain Wall Racetrack"

  • 1. ROR icon Adam Mickiewicz University in Poznań
  • 1. ROR icon Adam Mickiewicz University in Poznań
  • 2. ROR icon University of Exeter
  • 3. ROR icon Aalto University

Description

This dataset contains the micromagnetic simulation inputs, processed data, and Jupyter notebooks used to generate the figures of the study “Spin-Wave Phase Shifter Controlled by a Domain Wall Racetrack”.

The study investigates spin-wave phase control by a reconfigurable magnetic domain-wall racetrack placed above a YIG waveguide. The archive is organized by figure folders and includes amumax (fork of mumax3) input scripts, analysis notebooks, selected outputs, and final PDF/PNG figures. Large intermediate Zarr outputs are not included for all parameter sweeps because of their size, but they can be regenerated from the provided simulation scripts and notebooks. This version contains code that was reorganized and documented with the help of AI tools.

Acknowledgments

The research leading to these results was funded by the European Union’s Horizon Europe research and innovation program under GA 101070347 MANNGA. Views and opinions expressed are however those of the authors only and do not necessarily reflect those of the European Union or the European Health and Digital Executive Agency (HADEA). Neither the European Union nor the granting authority can be held responsible for them. This work was also supported by the National Science Centre, Poland, Projects: OPUS No. UMO-2023/49/B/ST3/02920, SONATA, UMO-2024/55/D/ST3/02079, PRELUDIUM No. UMO-2024/53/N/ST3/03244. The contribution of the Norwegian Financial Mechanism 2014-2021, Project POLS No. UMO-2020/37/K/ST3/02450 is also acknowledged.

Files

fig_1.zip

Files (242.0 MB)

Name Size
md5:243d931bc887108f8cdae05dd256872c
220.9 MB Preview Download
md5:ce3887b04f06a900f47542f32ba66237
1.4 MB Preview Download
md5:721534a1f3897afce938c220c8c50006
1.8 MB Preview Download
md5:0f71e850304e3c200d5dce2083d86757
2.6 MB Preview Download
md5:9f33cf0ae4bacd1d56cf18ab0319eea6
1.5 MB Preview Download
md5:ccdc6b49707273a4cb32dfa1ca11f83e
3.9 MB Preview Download
md5:6b12a61b3005b5d37437c13b2765d9ea
335.9 kB Preview Download
md5:879611ac4371a22143842929d38eb9a6
3.0 MB Preview Download
md5:00749edf6c169a87345e1eccf3854ea7
2.4 MB Preview Download
md5:3bfd5fec0e288105162f34b04cefbc43
2.6 MB Preview Download
md5:45885ca77ec43f6ca3b3e3425fb850a1
1.5 MB Preview Download
md5:b54a85a97fffc3bb77a2d9266d365e2d
6.3 kB Preview Download

Additional details

Funding

European Commission
MANNGA - MAGNONIC ARTIFICIAL NEURAL NETWORKS AND GATE ARRAYS 101070347
National Science Centre
OPUS UMO-2023/49/B/ST3/02920
National Science Centre
SONATA UMO-2024/55/D/ST3/02079
National Science Centre
PRELUDIUM UMO- 2024/53/N/ST3/03244
National Science Centre
POLS UMO-2020/37/K/ST3/02450

Software

Programming language
Python