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<p>Vertical integration of two-dimensional materials holds tremendous potential for integrated sensing, memory, and computing applications, yet it still confronts challenges such as single device functionality, limited in-memory logic capability, and high power consumption. To address these issues, we propose an asymmetric van der Waals integration strategy based on an In₂Se₃/MoOₓ/MoS₂/graphene heterojunction, which integrates five reconfigurable logic gates (AND, OR, NOT, NOR, and NAND), dual-mode photodetection (~10 fA dark current, a high responsivity of 89.3 mA/W and a specific detectivity of 1.4 × 10¹¹Jones), and low-power neurosynaptic functions (7-bit conductance states, subfemtojoule energy consumption) into a single device. By virtue of these characteristics, the device enables high-precision image recognition, simulation of classical Pavlovian conditioning and single-pixel dual-band optical imaging. This work paves a feasible path for the development of multifunctionally integrated sensor-memory-computing devices.</p>

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Ferroelectricity-modulated asymmetric van der Waals heterostructure for ultralow-power neuromorphic synapse and logic-in-memory operations

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2026年3月14日

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  • Jiake Zhi,
  • Yao Wen,
  • Jiajie Chen,
  • Chuanyang Cai,
  • Shoufeng Yang,
  • Hao Zhu,
  • Ruiqing Cheng,
  • Lei Yin,
  • Shiheng Liang,
  • Jun He

摘要

Vertical integration of two-dimensional materials holds tremendous potential for integrated sensing, memory, and computing applications, yet it still confronts challenges such as single device functionality, limited in-memory logic capability, and high power consumption. To address these issues, we propose an asymmetric van der Waals integration strategy based on an In₂Se₃/MoOₓ/MoS₂/graphene heterojunction, which integrates five reconfigurable logic gates (AND, OR, NOT, NOR, and NAND), dual-mode photodetection (~10 fA dark current, a high responsivity of 89.3 mA/W and a specific detectivity of 1.4 × 10¹¹Jones), and low-power neurosynaptic functions (7-bit conductance states, subfemtojoule energy consumption) into a single device. By virtue of these characteristics, the device enables high-precision image recognition, simulation of classical Pavlovian conditioning and single-pixel dual-band optical imaging. This work paves a feasible path for the development of multifunctionally integrated sensor-memory-computing devices.