北京大学微纳电子学系
Nanoionics based devices and networks are intriguing candidates for the construction of new computing systems that could perform intelligent and energy-efficient computation. Here we will show an ionic gating modulated synaptic transistor based on layered crystals of transitional metal dichalcogenides and phosphorus trichalcogenides, which have produced a diversity of short-term and long-term plasticity, with remarkable linearity and symmetry as well as ultralow energy consumption of ~30 fJ/spike, making them suitable for low power neuromorphic systems. Furthermore, we show a two-terminal memristive synapse that can realize short-term and long-term plasticity in both potentiation and depression processes. The Ag nanoclusters introduced at the interface can move, connect and redistribute in response to applied pulses, where their electrochemical migration and thermodynamic relaxation in dielectrics compete with each other and faithfully emulate the calcium ion dynamics in biology, which in turn allow the devices to exhibit various synaptic functions. Such rich and asynchronous plasticity in both potentiation and depression are crucial for robust learning with tunable information transmission and network dynamics, thus paving the way for the construction of intelligent neuromorphic systems capable of encoding and processing spatiotemporal information.
杨玉超,现任北京大学信息科学技术学院研究员,博士生导师,国家重点研发计划青年项目首席科学家。长期从事类脑计算研究工作,迄今为止共在Nature Electronics、Nature Communications、Advanced Materials、Nano Letters等国际著名学术期刊上发表论文70余篇,被引用4000余次,H因子为26,1篇文章入选TOP 0.1% ESI热点论文,5篇文章入选TOP 1% ESI高被引论文。研究工作被美国自然科学基金官方网站、BBC新闻等几十家网站重点报道。曾获“求是杰出青年学者奖”、Wiley青年研究者奖等奖项,并入选《麻省理工科技评论》中国区35岁以下科技创新35人。
联系人:葛琛 (82649478, gechen@iphy.ac.cn)
本次活动由中科院物理所青促会小组主办