Two‐Dimensional MoS<sub>2</sub>‐Based Anisotropic Synaptic Transistor for Neuromorphic Computing by Localized Electron Beam Irradiation
Neuromorphic computing, a promising solution to the von Neumann bottleneck, is paving the way for the development of next-generation computing and sensing systems. Axon-multisynapse systems enable the execution of sophisticated tasks, making them not only desirable but essential for future applications in this field. Anisotropic materials, which have different properties in different directions, are being used to create artificial synapses that can mimic the functions of biological axon-multisynapse systems. However, the restricted variety and unadjustable conductive ratio limit their applications. Here, it is shown that anisotropic artificial synapses can be achieved on isotropic materials with externally localized doping via electron beam irradiation (EBI) and purposefully induced trap sites. By employing the synapses along different directions, artificial neural networks (ANNs) are constructed to accomplish variable neuromorphic tasks with optimized performance. The localized doping method expands the axon-multisynapse device family, illustrating that this approach has tremendous potentials in next-generation computing and sensing systems.
Authors
- Juan Dou (ORCID: https://orcid.org/0009-0004-0795-6205)
- Chunlan Wang (ORCID: https://orcid.org/0000-0002-0169-3019)
- Yang Chai (ORCID: https://orcid.org/0000-0002-8943-0861)
- Lei Liao (ORCID: https://orcid.org/0000-0003-1325-2410)
- Hao Huang (ORCID: https://orcid.org/0000-0003-4416-5459)
- Xuming Zou (ORCID: https://orcid.org/0000-0003-4553-6338)
- Chunsen Liu (ORCID: https://orcid.org/0000-0003-0842-7503)
- Peng Gao (ORCID: https://orcid.org/0000-0002-5176-628X)
- Han He
- Lei Liu (ORCID: https://orcid.org/0000-0001-8623-8682)
- Jingli Wang (ORCID: https://orcid.org/0000-0002-6133-1212)
- Tuo Shi (ORCID: https://orcid.org/0000-0003-2097-7970)
- Zijun Chen (ORCID: https://orcid.org/0000-0001-8642-1604)
- Mengru Zhang (ORCID: https://orcid.org/0009-0007-8467-4553)
- Jianlu Wang (ORCID: https://orcid.org/0009-0008-3976-483X)
- Peng Zhou (ORCID: https://orcid.org/0000-0002-0211-9270)
Institutions
- Hong Kong Polytechnic University (HK)
- Guangxi University (CN)
- Hunan University (CN)
- Fudan University (CN)
- Xi'an Polytechnic University (CN)
- Zhejiang Lab (CN)
- Shanghai Fudan Microelectronics (China) (CN)
Publication Details
- Journal
- Advanced Science
- Published
- 2024-10-16
- DOI
- https://doi.org/10.1002/advs.202408210
- Citations
- 15
- Primary Topic
- Advanced Memory and Neural Computing
- Type
- article
- Field-Weighted Citation Impact
- 3.13
Funders
- National Natural Science Foundation of China
- National Key Research and Development Program of China