井ZnO记忆电晶体管:用于神经形态应用的高可靠性
Ki-Hoon Son1, Hyun-Sik Kim1, Dae-Hee Han1
1Department of Materials Science & Engineering, Kyung Hee University, Yongin, 17104, Republic of Korea.
Advanced materials (Deerfield Beach, Fla.)
|September 11, 2025
概括
一个新的井氧化物记忆晶体管 (LWOM) 提供高效的模拟内存和非挥发性特性. 这种离子晶体管对下一代人工神经网络和内存硬件有很大的前景.
科学领域:
- 材料科学 材料科学 材料科学
- 固态物理 固态物理
- 设备物理 设备物理
背景情况:
- 记忆晶体管将晶体管的功能与非挥发性存储器集成在一起,使用离子记忆频道.
- 现有的模晶体管技术,如FeFET和充电陷闪光灯具有局限性.
- 与其他非易失性存储器设备相比,离子记忆晶体管在性能上历来落后.
研究的目的:
- 引入一种易于扩展的井氧化物 (LWOM) 晶体管作为高性能离子晶体管候选.
- 通过通过离子迁移诱导的Schottky屏障调制来证明模拟内存特征.
- 评估LWOM在非易失性记忆和人工神经网络 (ANN) 加速方面的潜力.
主要方法:
- 使用成熟的氧化物半导体技术制造LWOM设备,具有230°C的热预算.
- 通过写VDS诱导+离子迁移以调节肖特基屏障.
- 使用3D二次离子质谱法 (SIMS) 进行表征,以确认离子再分配和电阻切换机制.
- 测试一个21 × 21横杆阵列的运行产量和重量更新准确性.
主要成果:
- 低电压重量更新和精确的门控制重量更新特征.
- 3D SIMS分析证实了离子再分配和底层电阻切换机制.
- 一个21 × 21横杆阵列实现了99.31%的运行产量,并成功地将重量更新到目标导电量值.
结论:
- 由于其易于制造和性能,LWOM是下一代非易失性内存的有希望的候选者.
- 该设备的模拟内存特性和精确控制使其适用于人工神经网络 (ANN) 加速硬件.
- LWOM利用成熟的氧化物半导体技术,为可扩展的内存解决方案提供了可行的途径.
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