黑/铁电P ((VDF-TrFE) 场效应晶体管具有高流动性,用于高精度神经形态计算中的节能人工突触
Zhaoying Dang1,2, Feng Guo1,3, Huan Duan4
1Department of Applied Physics, The Hong Kong Polytechnic University, Hung Hom, Hong Kong 999077, China.
Nano letters
|June 7, 2023
概括
研究人员开发了新的铁电调节突触晶体管,使用黑和灵活的聚合物进行高效的神经形态计算. 这些设备可以实现低功耗,高速的人工智能应用,如手写数字识别.
科学领域:
- 材料科学 材料科学 材料科学
- 计算机工程 计算机工程
- 神经科学是一个神经科学.
背景情况:
- 神经形态系统为人工智能提供低功耗和高速度.
- 开发高效的突触器件对于下一代计算至关重要.
研究的目的:
- 设计和研究用于神经形态计算的铁电调节突触晶体管.
- 为了将二维黑与柔性铁电共聚合物集成.
主要方法:
- 制造P ((VDF-TrFE) /BP突触晶体管.
- 设备性能的表征,包括移动性和开/关比.
- 模拟突触行为和模拟人工神经网络.
主要成果:
- 实现了高流动性 (900 cm2 V-1 s-1) 和开/关比 (103).
- 证明了低能耗 (∼40 fJ) 和可靠的突触功能.
- 使用人工神经网络在手写数字识别中获得了93.6%的准确性.
结论:
- 铁电调节的突触晶体管显示出对高性能神经形态网络的前景.
- P(VDF-TrFE) /BP设备是节能AI的合适构建块.
- 这项工作推动了人工智能硬件的发展.
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