Towards Efficient SOT-Assisted STT-MRAM Cell Switching Using Reinforcement Learning

Talk or Poster (with paper)

• Category (PICK ONE FROM LIST; DO NOT CHANGE OR ADD NEW CATEGORY!): Full-paper Contribution
• Title: Towards Efficient SOT-Assisted STT-MRAM Cell Switching Using Reinforcement Learning
• Authors:
  • Ender, Johannes (m, E360)
  • de Orio, Roberto Lacerda (m, E360)
  • Goes, Wolfgang (m, external)
  • Sverdlov, Viktor (m, E360)
• Presenters:
  • Ender, Johannes (m, E360)
• Conference: Large Scale Scientific Computations (LSSC)
• Proceedings Title: Large-Scale Scientific Computations
• Proceedings Link: https://link.springer.com/book/10.1007/978-3-031-56208-2
• Conference City: Sozopol
• Conference Country: Bulgaria
• Conference Dates: 05/06/2023 - 09/06/2023
• Conference Format: On-site
• Conference Website: https://parallel.bas.bg/Conferences/SciCom23/
• Start Page: 83
• End Page: 90
• Number of pages: 8
• ISBN: 978-3-031-56207-5
• DOI: 10.1007/978-3-031-56208-2_7
• Language: English
• Keywords: Spin-orbit torque, Spin-transfer torque, Magnetoresistive RAM, Reinforcement Learning
• Open access: no
• Research projects (TISS-Project-Acronyms ONLY: TISS->Research->My projects: pick from "Acronym" column (only project leaders can access this information)):
  • NovoMemLog
• TU Wien Core facilities: None
• Research areas -- Focal Areas and Fields: (pick from TU Wien Research Matrix's subcategories and assign a percentage share; in total it should add up to 100%.):
  • Modeling and Simulation (80%), Nanoelectronics (20%)
• Invited: no
• Reviewed: no
• File attachments:
  • Paper as PDF: B3.pdf