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Author Kaintura, A.; Foss, K.; Couckuyt, I.; Dhaene, T.; Zografos, O.; Vaysset, A.; Sorée, B.
  Title Machine Learning for Fast Characterization of Magnetic Logic Devices Type (up) P1 Proceeding
  Year 2018 Publication (edaps 2018) Abbreviated Journal
  Volume Issue Pages
  Keywords P1 Proceeding; Condensed Matter Theory (CMT)
  Abstract Non-charge-based logic devices are promising candidates for future logic circuits. Interest in studying and developing these devices has grown dramatically in the past decade as they possess key advantages over conventional CMOS technology. Due to their novel designs, a large number of micromagnetic simulations are required to fully characterize the behavior of these devices. The number and complexity of these simulations place large computational requirements on device development. We use state-of-the-art machine learning techniques to expedite identification of their behavior. Several intelligent sampling strategies are combined with machine learning multi-class classification models. These techniques are applied to a recently developed exchange-driven magnetic logic scheme that utilizes direct exchange coupling as the main driver.
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  Corporate Author Thesis
  Publisher Place of Publication Editor
  Language Wos Publication Date
  Series Editor Series Title Abbreviated Series Title
  Series Volume Series Issue Edition
  ISSN 978-1-5386-6592-3 ISBN Additional Links UA library record; WoS full record
  Impact Factor Times cited Open Access
  Notes Approved Most recent IF: NA
  Call Number UA @ admin @ c:irua:160484 Serial 5219
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