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October 9, 2025Advanced Functional Materials3 citations

Multi‐Terminal Operability in Van Der Waals Ferroelectric Field‐Effect Memtransistors for Logic‐in‐Memory and Neuromorphic Computing

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FXFei XiaoDTDongxin TanLTLiang Tian

Key Points

  • The ferroelectric field-effect memtransistor enables multi-level conductance switching through polarization switching and multidomain structure, enhancing memory capabilities.
  • Control inputs from both gate and drain terminals allow for a two-input Boolean logic gate within a single-transistor configuration, facilitating efficient operation.
  • The device shows exceptional analog conductance switching with over 7-bit conductance states, supporting advanced functionalities in computing applications.
  • These findings underscore the potential of ferroelectric memtransistors in developing efficient in-memory computing hardware platforms.

Abstract

Abstract Ferroelectric‐based non‐volatile memories (NVMs), which can merge logic and memory functionalities within a single device, represent a promising solution for future in‐memory computing architecture. Although various types of ferroelectric‐based NVM are demonstrated, a device concept integrating compact structure, reconfigurable operation and superior performance that can meet the demands of the emerging in‐memory computing remains to be explored. Here, a new type of device termed ferroelectric field‐effect memtransistor (FeFEMT) is reported, which features a multifunctional device operation scheme using the proposed multi‐terminal operability. In this device, multi‐level non‐volatile conductance switching based on the ferroelectric polarisation switching and the multidomain structure can be achieved with either gate‐ or drain‐voltage control. The device operates with control voltage inputs from both drain and gate terminals, enabling a single‐transistor structure two‐input Boolean logic‐in‐memory gate. Furthermore, the drain‐voltage controlled multidomain structure enables the FeFEMT to function as a two‐terminal synaptic transistor, showing excellent analogue conductance switching with over 7‐bit conductance states. The demonstrated synaptic properties consequently facilitate the simulation of implementation of a convolutional neural network, offering a superior inference performance. These findings highlight the prospects of the FeFEMTs as a suitable device technology for diverse and high‐efficiency in‐memory computing hardware platform.

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Cite This Study

Xiao et al. (2025) studied this question.

synapsesocial.com/papers/68e70db290569dd607ee6132https://doi.org/10.1002/adfm.202523298
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