Frequency Demultiplexing of Spin Waves by Inverse-designed Magnetization Patterns, Experimentally Realized by FIB Irradiation

Martina Kiechle, Adam Papp, Levente Maucha, Simon Mendisch, Johannes Greil, Valentin Ahrens, Gyorgy Csaba, Markus Becherer

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

We present the spatial separation of spin waves with distinct wavelengths when traveling through machine-learned magnetization landscapes, which can be used to demultiplex the corresponding excitation frequencies. Focused ion beam irradiation is used to modify the magnetization of YIG locally, and the maximum achievable magnetization change is used as a training basis to generate a binary 2D magnetization profile. The pattern is created with an inverse design approach using a micromagnetic solver embedded in the PyTorch framework. Subsequently, the magnetization pattern is experimentally realized using the corresponding FIB dose and its performance is demonstrated using time-resolved MOKE microscopy.

Original languageEnglish
Title of host publication2023 IEEE International Magnetic Conference - Short Papers, INTERMAG Short Papers 2023 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798350338362
DOIs
StatePublished - 2023
Event2023 IEEE International Magnetic Conference - Short Papers, INTERMAG Short Papers 2023 - Sendai, Japan
Duration: 15 May 202319 May 2023

Publication series

Name2023 IEEE International Magnetic Conference - Short Papers, INTERMAG Short Papers 2023 - Proceedings

Conference

Conference2023 IEEE International Magnetic Conference - Short Papers, INTERMAG Short Papers 2023
Country/TerritoryJapan
CitySendai
Period15/05/2319/05/23

Keywords

  • frequency demultiplexing
  • inverse-design magnonics
  • machine learning
  • spin waves

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