神经形态工程学
材料科学
电铸
记忆电阻器
横杆开关
退火(玻璃)
电极
光电子学
图层(电子)
纳米技术
计算机科学
电子工程
人工神经网络
复合材料
电信
物理
量子力学
机器学习
工程类
作者
Hyojin So,Hyeonseung Ji,Sungjun Kim,Sungjoon Kim
标识
DOI:10.1002/adfm.202405544
摘要
Abstract In this study, oxygen‐rich TiO y and TiO x layers are intentionally designed to have different oxygen compositions, functioning as an overshoot suppression layer (OSL) and oxygen reservoirs. Furthermore, by natural oxidation reactions occurring between the TiO y /TiO x /Al 2 O 3 switching layer and the Pt/Al top electrode, an additional AlO y layer can be induced to act as an additional OSL. The proposed annealing process accelerates the oxidation reaction of AlO y /TiO y OSLs, thereby enhancing the self‐compliance feature of devices. Moreover, the ultrathin AlN serves as an oxygen barrier layer (OBL) that inhibits the movement of oxygen ions at the interface between the Al 2 O 3 layer and the Pt/Ti bottom electrode. The optimized devices are tested by DC sweep and pulses for neuromorphic computing systems. To realize biological synapse characteristics, several key synaptic memory plasticities are proposed. Finally, a 24 × 24 crossbar array based on the 0T‐1R structure, incorporating optimized AlO y /TiO y OSLs and OBL via the annealing process, is characterized. During the electroforming step, all specified target cells (marked with the letters “ESDL”) achieved self‐compliance at low current levels without experiencing hard‐breakdown failures or interference among neighboring cells. The successful array performance is demonstrated by the accurate tuning of target weights.
科研通智能强力驱动
Strongly Powered by AbleSci AI