2D MoS2-based reconfigurable analog hardware

Xinyu Huang, Lei Tong, Langlang Xu, Wenhao Shi, Zhuiri Peng, Zheng Li, Xiangxiang Yu, Wei Li, Yilun Wang, Xinliang Zhang, Xuan Gong, Jianbin Xu, Xiaoming Qiu, Hongyang Wen, Jing Wang, Xuebin Hu, Caihua Xiong (), Yu Ye (), Xiangshui Miao () and Lei Ye ()
Additional contact information
Xinyu Huang: Huazhong University of Science and Technology
Lei Tong: The Chinese University of Hong Kong
Langlang Xu: Huazhong University of Science and Technology
Wenhao Shi: Huazhong University of Science and Technology
Zhuiri Peng: Huazhong University of Science and Technology
Zheng Li: Huazhong University of Science and Technology
Xiangxiang Yu: Huazhong University of Science and Technology
Wei Li: Nankai University & TKL of Metal and Molecule Based Material Chemistry
Yilun Wang: Huazhong University of Science and Technology
Xinliang Zhang: Huazhong University of Science and Technology
Xuan Gong: Huazhong University of Science and Technology
Jianbin Xu: The Chinese University of Hong Kong
Xiaoming Qiu: Affiliated Hospital of Hubei Polytechnic University
Hongyang Wen: Wuhan Wuchang Hospital
Jing Wang: Huazhong University of Science and Technology
Xuebin Hu: Huazhong University of Science and Technology
Caihua Xiong: Huazhong University of Science and Technology
Yu Ye: Affiliated Hospital of Hubei Polytechnic University
Xiangshui Miao: Huazhong University of Science and Technology
Lei Ye: Huazhong University of Science and Technology

Nature Communications, 2025, vol. 16, issue 1, 1-10

Abstract: Abstract Biological neural circuits demonstrate exceptional adaptability to diverse tasks by dynamically adjusting neural connections to efficiently process information. However, current two-dimension materials-based neuromorphic hardware mainly focuses on specific devices to individually mimic artificial synapse or heterosynapse or soma and encoding the inner neural states to realize corresponding mock object function. Recent advancements suggest that integrating multiple two-dimension material devices to realize brain-like functions including the inter-mutual connecting assembly engineering has become a new research trend. In this work, we demonstrate a two-dimension MoS2-based reconfigurable analog hardware that emulate synaptic, heterosynaptic, and somatic functionalities. The inner-states and inter-connections of all modules co-encode versatile functions such as analog-to-digital/digital-to-analog conversion, and linear/nonlinear computations including integration, vector-matrix multiplication, convolution, to name a few. By assembling the functions to fit with different environment-interactive demanding tasks, this hardware experimentally achieves the reconstruction and image sharpening of medical images for diagnosis as well as circuit-level imitation of attention-switching and visual residual mechanisms for smart perception. This innovative hardware promotes the development of future general-purpose computing machines with high adaptability and flexibility to multiple tasks.

Date: 2025
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DOI: 10.1038/s41467-024-55395-4

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