| Citation: |
Chenjian Zhang, Jiaxuan Liu, Dongliang Zhang, Tianhao Qin, Kexin Wang, Haidong He, Yu Chen. High hall mobility carbonized steamed buns-based polymer memristor for neuromorphic computing and image recognition[J]. Journal of Semiconductors, 2026, In Press. doi: 10.1088/1674-4926/25120015
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C J Zhang, J X Liu, D L Zhang, T H Qin, K X Wang, H D He, and Y Chen, High hall mobility carbonized steamed buns-based polymer memristor for neuromorphic computing and image recognition[J]. J. Semicond., 2026, accepted doi: 10.1088/1674-4926/25120015
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High hall mobility carbonized steamed buns-based polymer memristor for neuromorphic computing and image recognition
DOI: 10.1088/1674-4926/25120015
CSTR: 32376.14.1674-4926.25120015
More Information-
Abstract
The development of new n-type semiconductors is crucial for the further advancement of electronic and optoelectronic devices. Steamed buns, anciently known as "man tou", mainly made of wheat flour and are one of the staple foods for Chinese people. After being subjected to high-temperature treatment, the steamed buns transformed into carbonized steamed buns (CSB) with porous nanostructures, which exhibit a Hall mobility of up to 1.62 cm2/(V·s), far greater than C60(1.5×10−3~2.5×10−2 cm2/(V·s)), PCBM (2.0×10−7 cm2/(V·s)) and many polymer semiconductors (~10−6~10−2 cm2/(V·s)). A CSB-based bulk heterojunction memristor with a configuration of ITO/the CSB: PVK blends/Al is successfully fabricated. The device shows outstanding history dependent memristive switching performance, with 35 distinguishable conductance states, at a small sweep voltage range of ±1V. An achieved production yield reaches up to 89%. Upon being subjected to consecutive positive or negative voltage sweeps, the current flowing through the device can be modulated continuously. When the 15 consecutive pulse voltages (pulse amplitude: 0.1 V; pulse width:10 μs, pulse period: 20 μs) were applied to the device, the observed total power consumption was about 7.63 nJ, suggesting a potential in low-energy neuromorphic computing applications. As expected, both the CSB and PVK do not exhibit any memristive effect under the same experimental condition. Utilizing the characteristic that the device can linearly adjust the weights, a simple convolutional neural network for traffic sign recognition was successfully constructed. After 300 rounds of training, the achieved recognition accuracy rate reached 88.77%. This work not only provides a new approach for developing low-cost and readily available organic semiconductors with high Hall mobility, but also offers a new idea for the subsequent development of high-performance artificial synapses and optoelectronic devices using carbonized steamed buns. -
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Proportional views



Chenjian Zhang was born in Anhui, China in 2000 and received his B.S. degree from the School of Materials and Chemical Engineering, Chuzhou University, China, in 2018. He then joined Prof. Dr Yu Chen’s group as a PhD student at the same year. Up to date he has published several papers in the international peer-review journals. His research interests mainly concern the design and synthesis of organic and polymeric functional materials for optoelectronic memristors.
Yu Chen is a chair professor at East China University of Science and Technology in Shanghai. He received his Ph.D. in Organic Chemistry at Fudan University in July 1996. Starting from February 2000, he took four-month German language Course in Geothe Institute at Schwaebisch Hall. He then joined Prof. Michael Hanack's group at University of Tuebingen, as an Alexander von Humboldt research fellow. At the end of October 2002, he moved to the University of Washington at Seattle, USA, and worked with Prof. Alex K. Y. Jen as a research associate. In February 2004, he joined the Professor Osamu Ito’s group at Tohoku University, Japan as a research scientist of CREST, JST. He has published more than 300 articles in the peer-review journals such as Nat. Commun., Adv. Sci., Angew. Chem. Int. Ed., J. Am. Chem. Soc., Adv. Mater. and others. His research interests mainly concern the design and synthesis of organic and polymeric functional materials for optoelectronics and memristors.
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