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(Invited) Ion Tunable Electronic Materials Systems for Neuromorphic Computing

机译:(邀请的)离子可调电子材料系统,用于神经形态计算

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Tuning electronic conductance through solid state electrochemical ion insertion has emerged as a promising technology to enable next-generation, ultralow energy computing architectures. Unlike two-terminal non-volatile memory elements, the three-terminal redox transistor decouples the 'write' and 'read' operations using a 'gate' electrode to tune the conductance state through charge transfer reactions involving ion injection into the channel electrode through a solid-state electrolyte. The insertion of ions into the bulk of the channel acts to dope the material through a gradual composition modulation that leads up to thousands of finely spaced conductance levels (synaptic weights) with near-ideal analog behavior. These properties enable low-energy operation without compromising analog performance and non-volatility. However, the strong coupling of ionic and electronic processes sharply challenges our current understanding of solid-state electrochemical systems, particularly at decreasing dimensions and timescales relevant to computing technology. In my talk I will discuss the rich portfolio of challenging, exciting fundamental science questions about ion tunable electronic materials systems and how we can harness these to realize a new paradigm for low power neuromorphic computing.
机译:通过固态电化学离子插入调整电子电导已成为一个有希望的技术,以实现下一代超级能量计算架构。与双端子非易失性存储器元件不同,三端子氧化还原晶体管使用“栅极”电极与“写入”和“读取”操作分离,以通过涉及离子注入到通道电极的电荷传递反应来调谐电导状态固态电解质。将离子插入大部分通道的动作通过逐渐用渐进的组合调制掺杂材料,以达到近乎近乎理想的模拟行为的数千个细间距的电导水平(突触重量)。这些属性使低能量操作能够损害模拟性能和非波动性。然而,离子和电子过程的强烈耦合急剧挑战我们目前对固态电化学系统的理解,特别是在与计算技术相关的尺寸和时间尺寸下降。在我的谈话中,我将讨论丰富的挑战组合,令人兴奋的基本科学问题关于离子可调电子材料系统以及我们如何利用这些来实现新的低功率神经形态计算的新范式。

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