2D MoS2-based reconfigurable analog hardware
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 arti...
Saved in:
| Main Authors: | , , , , , , , , , , , , , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-01-01
|
| Series: | Nature Communications |
| Online Access: | https://doi.org/10.1038/s41467-024-55395-4 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1841559318449618944 |
|---|---|
| author | 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 Lei Ye |
| author_facet | 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 Lei Ye |
| author_sort | Xinyu Huang |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-d3fcf3c9acc540bbab6b3874a2f55f40 |
| institution | Kabale University |
| issn | 2041-1723 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Nature Communications |
| spelling | doaj-art-d3fcf3c9acc540bbab6b3874a2f55f402025-01-05T12:37:52ZengNature PortfolioNature Communications2041-17232025-01-0116111010.1038/s41467-024-55395-42D MoS2-based reconfigurable analog hardwareXinyu Huang0Lei Tong1Langlang Xu2Wenhao Shi3Zhuiri Peng4Zheng Li5Xiangxiang Yu6Wei Li7Yilun Wang8Xinliang Zhang9Xuan Gong10Jianbin Xu11Xiaoming Qiu12Hongyang Wen13Jing Wang14Xuebin Hu15Caihua Xiong16Yu Ye17Xiangshui Miao18Lei Ye19School of Integrated Circuits and Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and TechnologyDepartment of Electronic Engineering, Materials Science and Technology Research Center, The Chinese University of Hong KongSchool of Integrated Circuits and Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and TechnologySchool of Integrated Circuits and Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and TechnologySchool of Integrated Circuits and Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and TechnologySchool of Integrated Circuits and Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and TechnologySchool of Integrated Circuits and Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and TechnologySchool of Materials Science and Engineering, Smart Sensing Interdisciplinary Science Center, Nankai University & TKL of Metal and Molecule Based Material ChemistrySchool of Integrated Circuits and Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and TechnologySchool of Integrated Circuits and Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and TechnologyInstitute of Medical Equipment Science and Engineering, Huazhong University of Science and TechnologyDepartment of Electronic Engineering, Materials Science and Technology Research Center, The Chinese University of Hong KongDepartment of Radiology, Huangshi Central Hospital, Affiliated Hospital of Hubei Polytechnic UniversityDepartment of clinical laboratory, Wuhan Wuchang HospitalDepartment of Radiology and Hubei Province Key Laboratory of Molecular Imaging, Union Hospital, Tongji Medical College, Huazhong University of Science and TechnologyDepartment of Neurosurgery, Union Hospital, Tongji Medical College, Huazhong University of Science and TechnologyInstitute of Medical Equipment Science and Engineering, Huazhong University of Science and TechnologyDepartment of Radiology, Huangshi Central Hospital, Affiliated Hospital of Hubei Polytechnic UniversitySchool of Integrated Circuits and Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and TechnologySchool of Integrated Circuits and Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and TechnologyAbstract 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.https://doi.org/10.1038/s41467-024-55395-4 |
| spellingShingle | 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 Lei Ye 2D MoS2-based reconfigurable analog hardware Nature Communications |
| title | 2D MoS2-based reconfigurable analog hardware |
| title_full | 2D MoS2-based reconfigurable analog hardware |
| title_fullStr | 2D MoS2-based reconfigurable analog hardware |
| title_full_unstemmed | 2D MoS2-based reconfigurable analog hardware |
| title_short | 2D MoS2-based reconfigurable analog hardware |
| title_sort | 2d mos2 based reconfigurable analog hardware |
| url | https://doi.org/10.1038/s41467-024-55395-4 |
| work_keys_str_mv | AT xinyuhuang 2dmos2basedreconfigurableanaloghardware AT leitong 2dmos2basedreconfigurableanaloghardware AT langlangxu 2dmos2basedreconfigurableanaloghardware AT wenhaoshi 2dmos2basedreconfigurableanaloghardware AT zhuiripeng 2dmos2basedreconfigurableanaloghardware AT zhengli 2dmos2basedreconfigurableanaloghardware AT xiangxiangyu 2dmos2basedreconfigurableanaloghardware AT weili 2dmos2basedreconfigurableanaloghardware AT yilunwang 2dmos2basedreconfigurableanaloghardware AT xinliangzhang 2dmos2basedreconfigurableanaloghardware AT xuangong 2dmos2basedreconfigurableanaloghardware AT jianbinxu 2dmos2basedreconfigurableanaloghardware AT xiaomingqiu 2dmos2basedreconfigurableanaloghardware AT hongyangwen 2dmos2basedreconfigurableanaloghardware AT jingwang 2dmos2basedreconfigurableanaloghardware AT xuebinhu 2dmos2basedreconfigurableanaloghardware AT caihuaxiong 2dmos2basedreconfigurableanaloghardware AT yuye 2dmos2basedreconfigurableanaloghardware AT xiangshuimiao 2dmos2basedreconfigurableanaloghardware AT leiye 2dmos2basedreconfigurableanaloghardware |