CMOS-compatible flash-gated thyristor-based neuromorphic module with small area and low energy consumption for in-memory computing.

Journal: Science advances
Published Date: Jul 18, 2025

Abstract

In-memory computing (IMC) is a technology that enables efficient analog vector-matrix multiplication (VMM). This field has been extensively researched to overcome the performance bottlenecks associated with traditional von Neumann architectures. In addition to analog VMM, combining efficient neuromorphic modules with memory is essential to enable a broader range of IMC operations. Here, we propose a complementary metal-oxide semiconductor (CMOS)-compatible flash-gated thyristor-based neuromorphic module (FGTNM) that combines various functions in neural networks, such as quantization, nonlinear activation, and max pooling into a single module. The FGTNM features a small footprint (53 square micrometers) and low energy consumption (9.1 femtojoules per operation), outperforming previous CMOS-based modules. System-level IMC using the FGTNM shows a high accuracy (89.97%) on CIFAR-10 classification. This work showcases the potential to co-integrate various devices (flash memory, flash-gated thyristor, n-type metal-oxide semiconductor, and p-type metal-oxide semiconductor) on a single wafer, which broadens the scope of IMC applications beyond analog VMM.

Authors

  • Jonghyun Ko
    Department of Electrical and Computer Engineering and Inter-university Semiconductor Research Center, Seoul National University, Seoul 08826, Republic of Korea.
  • Jiseong Im
    Department of Electrical and Computer Engineering and Inter-university Semiconductor Research Center, Seoul National University, Seoul 08826, Republic of Korea.
  • Jangsaeng Kim
    Department of Electrical and Computer Engineering and Inter-university Semiconductor Research Center, Seoul National University, Seoul 08826, Republic of Korea.
  • Wonjun Shin
    Department of Electrical and Computer Engineering and Inter-university Semiconductor Research Center, Seoul National University, Seoul 08826, Republic of Korea.
  • Ryun-Han Koo
    Department of Electrical and Computer Engineering and Inter-university Semiconductor Research Center, Seoul National University, Seoul 08826, Republic of Korea.
  • Sung-Ho Park
    Department of Obstetrics and Gynecology, Hallym University Kangnam Sacred Heart Hospital, 1, Shingil-ro, Yeongdeungpo-gu, Seoul, 07441, Republic of Korea.
  • Sung Yun Woo
    Kyungbook National University, Daegu, Republic of Korea.
  • Jong-Ho Lee
    Ministry of Science and ICT, Sejong, Republic of Korea.

Keywords

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