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Bingheng Meng

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Articles

Defect-Driven Neuromorphic Plasticity in Planar ZnO Optoelectronic Synapses

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By Zhiyuan Ren, Shan Wang Verified, Bingheng Meng, Huan Liu
| dx.doi.org
Introduction Click to copy section linkSection link copied! Artificial intelligence requires a revolutionary computing architecture. The von Neumann bottleneck, which arises from the physical separation between memory and processing units, limits computational speed and efficiency. (1−3) Neuromorphic computing, which mimics the structure and function of biological neural networks, provides a promising solution to this challenge.
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Carrier Recombination and Surface Band Bending in GaAs/InGaAs Core–Shell Nanowires with Reverse Type-I Band Alignment

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By Puning Wang, Bingheng Meng, Yubin Kang, Huan Liu
| dx.doi.org
C: Physical Properties of Materials and InterfacesApril 4, 2025 Puning Wang State Key Laboratory of High-Power Semiconductor Laser, School of Physics, Changchun University of Science and Technology, Changchun 130022, P. R. China Department of Electrical and Electronic Engineering, Southern University of Science and Technology, Shenzhen, Guangdong 518055, P. R.
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Room-Temperature Near-Infrared Lasing from GaAs/AlGaAs Core–Shell Nanowires Based on Random Cavity

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By Bingheng Meng, Yubin Kang, Xuanyu Zhang, Xuanchi Yu
| dx.doi.org
Surfaces, Interfaces, and ApplicationsJuly 28, 2024 Bingheng Meng State Key Laboratory of High Power Semiconductor Laser, School of Physics, Changchun University of Science and Technology, Changchun, Jilin 130022, P. R. China Department of Electrical and Electronic Engineering, Southern University of Science and Technology, Shenzhen, Guangdong 518055, P. R.
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