基于矿的双面工程突触记忆器实现高线性和对称性,以实现准确和强大的神经形态计算
Jang Woo Lee1, Liang Cai1, Jeong-Seok Nam1,2
1Department of Nano Engineering, Department of Nano Science and Technology, SKKU Advanced Institute of Nanotechnology (SAINT), Sungkyunkwan University (SKKU), Suwon, 16419, Republic of Korea.
Advanced science (Weinheim, Baden-Wurttemberg, Germany)
|August 20, 2025
概括
双面工程金属化 (MHP) 记忆器实现高线性和对称性. 这一突破提高了神经形态计算应用的可靠性.
科学领域:
- 材料科学
- 电子产品
- 纳米技术
背景情况:
- 基于金属化 (MHP) 的记忆器由于突然切换和不规则的导电线索 (CF) 路径而面临着线性和对称性的挑战.
- 现有的MHP记忆器难以同时实现高线性,对称性和可靠性.
研究的目的:
- 报告具有同时高线性,对称性和可靠性的双相工程 MHP 记忆器.
- 调查顶部表面和底部侧被动对MHP记忆器性能的影响.
主要方法:
- 使用乙 (PEAI) 的顶部表面被动化,形成超薄的2D矿层 (PEA2PbI4).
- 底部PEAI处理以减轻拉伸力和增强矿颗粒的均性.
- 记忆器性能的描述,包括启动/关闭比率,耐久性,数据保留和神经形态计算模拟.
主要成果:
- 双相工程 MHP 记忆器同时具有高线性,对称性和可靠性.
- 顶部表面被动化促进了渐进的切换,抑制了离子迁移,增强了线性.
- 底部治疗导致稳定的CF破裂和改善线性和对称性.
- 实现了3.67 × 10^5的启动/关闭比率,耐用性超过11,000个周期,数据保留时间超过10^5秒.
- 在模拟中证明了高分类准确性 (CIFAR-10的92.60%,MNIST的94.53%).
结论:
- 双面工程是一个有效的策略来克服基于MHP的memristors的挑战.
- 开发的memristors显示了下一代基于硬件的神经形态计算应用的巨大潜力.
相关概念视频
01:25MOS Capacitor
962
A Metal-Oxide-Semiconductor (MOS) capacitor is a fundamental structure used extensively in semiconductor device technology, particularly in the fabrication of integrated circuits and MOSFETs (metal-oxide-semiconductor field-effect transistors). The MOS capacitor consists of three layers: a metal gate, a dielectric oxide, and a semiconductor substrate.
The metal gate is typically made from highly conductive materials such as aluminum or polysilicon. Beneath the metal gate lies a thin layer of...
The metal gate is typically made from highly conductive materials such as aluminum or polysilicon. Beneath the metal gate lies a thin layer of...
962
01:19The Role of Ion Channels in Neuronal Computation
3.3K
A postsynaptic neuron usually receives numerous impulses from several other presynaptic neurons. The axon hillock of the postsynaptic neuron integrates all these signals and determines the likelihood of firing an action potential.
Sometimes a single EPSP is strong enough to induce an action potential in the postsynaptic neuron. However, multiple presynaptic inputs must often create EPSPs around the same time for the postsynaptic neuron to be sufficiently depolarized to fire an action potential....
Sometimes a single EPSP is strong enough to induce an action potential in the postsynaptic neuron. However, multiple presynaptic inputs must often create EPSPs around the same time for the postsynaptic neuron to be sufficiently depolarized to fire an action potential....
3.3K