Chenjian Zhang, Jiaxuan Liu, Dongliang Zhang, Tianhao Qin, Kexin Wang, Haidong He, Yu Chen
2026.4.1Journal of Semiconductors
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 ±1 V. 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.
Citation format
ZHANG, Chenjian, et al. High hall mobility carbonized steamed buns-based polymer memristor for neuromorphic computing and image recognition. Journal of Semiconductors, 2026, 47(4): 042801.