在AgHfO3-xmemristor中自带模拟切换,带有格子来源的Ag丝,可提供可靠的突触行为和关联学习
Swaraj Mukherjee1, Mubashir M Ganaie1, Ayan Chatterjee1
1Department of Physics, Indian Institute of Technology Jodhpur, Jodhpur, 342030, India.
Small (Weinheim an der Bergstrasse, Germany)
|August 5, 2025
概括
含银的矿AgHfO3-x为神经形态计算提供了稳定的模拟切换,通过在没有活性电极的情况下形成混合丝来克服传统的氧化记忆器的局限性.
科学领域:
- 材料科学 材料科学 材料科学
- 纳米技术纳米技术
- 计算机工程 计算机工程
背景情况:
- 氧化 (HfO2) 记忆器面临着诸如变性和有限的模拟调等挑战,这是由于不受控制的光线形成造成的.
- 当前的HfO2设备通常需要活性电极 (例如,Ag,Cu) 进行可靠的切换,限制材料选择.
研究的目的:
- 研究AgHfO3-x作为稳定,模拟电阻开关的新材料.
- 开发适合神经形态计算应用的memristor,而不需要依赖活性电极.
- 探索AgHfO3-x用于大脑启发系统的突触功能.
主要方法:
- 制造AgHfO3-x记忆器的制造.
- 调整沉积参数 (例如,氧气结合),以控制氧气空缺.
- 电阻开关行为和模拟调制的表征.
- 评估突触功能,包括强化,抑郁和关联性学习.
主要成果:
- AgHfO3-x表现出固有的,稳定的模拟切换,没有活性电极.
- 由氧空隙和晶格银组成的混合线丝使可靠的电阻切换成为可能.
- 优化的氧气整合抑制了空位,改善了开关稳定性和开/关比.
- 该设备展示了强化,抑郁,配对脉冲促进和协会学习.
结论:
- AgHfO3-x是先进的记忆器和人工突触的有希望的材料.
- 这种材料克服了用于神经形态计算的基于HfO2的设备的关键限制.
- 展示的突触功能为下一代大脑启发的硬件铺平了道路.
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