Design and Evaluation of a Near-Sensor Magneto-Electric FET-Based Event Detector

Mehrdad Morsali, Sepehr Tabrizchi, Andrew Marshall, Arman Roohi, Durga Misra, Shaahin Angizi

Research output: Contribution to journalArticlepeer-review

1 Scopus citations


As a recently developed post-CMOS FET, magneto-electric FETs (MEFETs) offer high-speed and low-power design characteristics for logic and memory applications. In this article, a near-sensor processing (NSP) platform leveraging the MEFETs is presented that enables event detection for edge vision sensors at a low cost by eliminating the need for power-hungry analog-to-digital circuits (ADCs). Besides, an efficient background comparison method is presented with adjustable precision that offers the output quality efficiency tradeoff, depending on the application's needs. Our device-to-architecture evaluations show that the proposed hardware-software codesign reduces the energy consumption and execution time on average by a factor of ∼ 15× and ∼ 2.4× compared to the SOT-MRAM counterpart running employing the same method.

Original languageEnglish (US)
Pages (from-to)4822-4828
Number of pages7
JournalIEEE Transactions on Electron Devices
Issue number9
StatePublished - Sep 1 2023

All Science Journal Classification (ASJC) codes

  • Electronic, Optical and Magnetic Materials
  • Electrical and Electronic Engineering


  • Magneto-electric FET (MEFET)
  • near-sensor computing
  • nonvolatile memory


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