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An ultrasmall organic synapse for neuromorphic computing

Engineering and Technology

An ultrasmall organic synapse for neuromorphic computing

S. Liu, J. Zeng, et al.

Discover groundbreaking advancements in organic neuromorphic devices, achieving an unprecedented device dimension of just 50 nm and a high integration size of 1 Kb. This cutting-edge research led by Shuzhi Liu and co-authors demonstrates remarkable conductance state switching and device uniformity, paving the way for brain-inspired humanoid intelligence systems.

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~3 min • Beginner • English
Abstract
High-performance organic neuromorphic devices with miniaturized dimensions and robust computing capability are critical for brain-inspired intelligence. Yet, the structural inhomogeneity of most organic materials hampers reliable downscaling to the nanoscale and high-density integration. Here, a semicrystalline polymer, PBFCL10, is designed with ordered molecular packing to regulate dense and uniform conductive nanofilament formation. This enables an organic synapse with a minimum device size of 50 nm and a highest integration of 1 Kb (32 × 32). The PBFCL10 synapses exhibit linear switching across 32 conductance states with high uniformity (98.89% cycle-to-cycle and 99.71% device-to-device). A mixed-signal neuromorphic hardware system combining the organic neuromatrix and an FPGA controller executes spiking-plasticity-related algorithms for decision-making tasks.
Publisher
Nature Communications
Published On
Nov 23, 2023
Authors
Shuzhi Liu, Jianmin Zeng, Zhixin Wu, Han Hu, Ao Xu, Xiaohe Huang, Weilin Chen, Qilai Chen, Zhe Yu, Yinyu Zhao, Rong Wang, Tingting Han, Chao Li, Pingqi Gao, Hyunwoo Kim, Seung Jae Baik, Ruoyu Zhang, Zhang Zhang, Peng Zhou, Gang Liu
Tags
organic neuromorphic devices
conductive nanofilaments
brain-inspired intelligence
device integration
spiking-plasticity
semicrystalline polymer
synapse performance
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