Hybrid-FE-layer FeFET with High Linearity and Endurance Towards On-chip CIM by Array Demonstration
IEEE Electron Device Letters(2023)
摘要
Analog weight cells based on ferroelectric field-effect transistors (FeFETs) are promising for fast and energy efficient compute-in-memory (CIM) accelerators, yet their on-chip training is hindered by the limited linearity and endurance. To address this critical issue, we introduced a novel FeFET design featuring a hybrid ferroelectric layer of Hf
0.5
Zr
0.5
O
2
and Hf
0.95
Al
0.05
O
2
with Al
2
O
3
interlayers. The proposed FeFET achieves a high linearity of α
p
= -0.48 and α
d
= -1.73, good endurance of over 10
9
cycles, and a fast switching speed of ~50ns. The mechanism of such improvement was probed carefully by comparison with control devices. The benefit of device optimization was experimentally demonstrated by performing an on-chip training task on a 1T NOR array, and the system-level benchmarking of the CIM accelerator based on our FeFET shows an overall superior performance. This work contributes to the development of FeFETs for on-chip neuromorphic hardware.
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关键词
Ferroelectric FET (FeFET),neuromorphic computing,on-chip CIM,FeFET synaptic array
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