王兴晟

个人信息Personal Information

教授   博士生导师   硕士生导师  

性别:男

在职信息:在职

所在单位:集成电路学院

学历:研究生(博士)毕业

学位:哲学博士学位

毕业院校:格拉斯哥大学

学科:微电子学与固体电子学

论文成果

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BEOL Large-scale Integration and Precise Programming of HfOx/AlOy Superlattice-like Multi-Level Memristors

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论文类型:期刊论文

第一作者:黄梦华,江品锋

通讯作者:王兴晟

合写作者:王成旭,汪美青,马颖昊,甘周超,杨逸凡,缪向水

发表刊物:IEEE Transactions on Electron Devices

收录刊物:SCI、EI

卷号:71

期号:8

页面范围:4613-4618

关键字:Analogy memristor, back-end-of-line (BEOL) integration, CMOS, one transistor one memristor (1T1M), synaptic device, temperature

DOI码:10.1109/TED.2024.3406310

发表时间:2024-06-12

摘要:The memristor is a promising candidate for multilevel memory and neuromorphic computing. This study successfully integrated HfO x /AlO y superlattice-like (SLL) memristors in the 0.18/0.5 μ m CMOS back-end-of-line (BEOL) process and statistically analyzed their performance. We identified that BEOL annealing (400 ∘ C/30 min) can cause oxygen diffusion and short-circuiting, but reducing Ti electrode thickness mitigates this issue. Furthermore, low post-forming resistance is discussed and solved by one transistor one memristor (1T1M) structure. Finally, we fabricate a 1T1M crossbar array with a size of 1 Kb in the 0.18 μ m CMOS process. We demonstrated the multilevel characteristics and endurance of 1T1M. Furthermore, the stable and precise multilevel conductance programming of memristors is achieved by a specific writing method and we simulated the effect of conductance of failure bits on classification accuracy in a four-layer MLP network on the MNIST dataset.

发布期刊链接:https://ieeexplore.ieee.org/document/10555550