钟帅
博士，青年研究员，研究组组长
Email: zhongshuai@@gdiist.cn
个人简介：
钟帅，青年研究员，类脑计算理论与器件研究组。2009年本科毕业于西北工业大学，2014年硕士毕业于北京航空航天大学，2019年于新加坡科技与设计大学取得博士学位。2019年后分别在新加坡科技与设计大学及清华大学从事博士后研究。主持中国博士后面上项目，参与2030科技创新项目（脑计划）以及新加坡科学院、教育部等研究项目。
类脑计算理论与器件研究组：
类脑计算是借鉴脑科学基本原理，打破“冯诺依曼”架构束缚的新型计算技术。本研究组将从理论和器件两个方向对类脑计算展开协同研究。
理论方面：研究类脑计算架构、模型和算法，探索基于类脑计算的类脑智能的基础理论；借鉴神经元模型、神经环路传导、神经编码及认知、学习、记忆、决策等神经机制，逐步建立和完善类脑处理信息处理的数学/计算原理和模型；构建类脑计算和智能的统一理论框架。为类脑计算器件及系统的发展提供理论基础。
器件方面：基于新材料和新技术，研究新型高性能类脑神经器件，解决一致性差、可靠性差、规模化难等痛点；研究基于类脑神经器件的网络架构，构建大规模阵列，开展外围电路的研发与设计；研究基于新型类脑器件的感知和计算架构，发展感存、存算、感存算一体系统。
代表论著：
1. S. Zhong*, J. C. Zhou, F. W. Yu, M. Xu, Y. S. Zhang*, B. Yu, R. Zhao*. An Optical Neuromorphic Sensor with High Uniformity and High Linearity for Indoor Visible Light Localization. Advanced Sensor Research. 2300197. (2024)
2. Z. J. Wang, Y. X. Song, G. B. Zhang, Q. Luo, K. Xu, D. W. Gao, B. Yu, D. Loke, S. Zhong*, Y. S. Zhang*. Advances of Embedded Resistive Random Access Memory in Industrial Manufacturing and Its Potential Applications. International Journal of Extreme Manufacturing. (2024).
3. M. Xu, F. Q. Liu, Y. F. Hu, H. Y. Li, Y. Y. Wei, S. Zhong, J. Pei* and L. Deng*. Adaptive Synaptic Scaling in Spiking Networks for Continual Learning and Enhanced Robustness. IEEE Transactions on Neural Networks and Learning Systems. (Accepted in 2024.2.25)
4. J. C. Zhou, A. Z. Chen, Y. S. Zhang*, D. Pu, B. S. Qiao, J. Y. Hu, H. X. Li, S. Zhong, R. Zhao, F. Xue, Y. Xu*, K. Loh, H. Wang, B. Yu*. Two-Dimensional Ferroionics: Conductive Switching Mechanisms And Transition Boundaries in Van Der Waals Layered Material CuInP2S6. Advanced materials. 35, 2302419. (2023).
5. S. Zhong, Y. Zhang. H. Zheng, F. W. Yu, R. Zhao, Spike-based Spatiotemporal Processing Enabled by Oscillation Neuron for Energy-Efficient Artificial Sensory Systems. Advanced Intelligent System. Advanced Intelligent System, 2200076 (2022)
6. S. Zhong, H.C. Wong, H.Y. Low, R. Zhao. Phototriggerable Transient Electronics via Fullerene-Mediated Degradation of Polymer:Fullerene Encapsulation Layer. ACS Applied Interface & Interfaces.13(1), 904 (2021)
7. S. Zhong, X. Ji, S. Hao, F. Liu, R. Zhao. A biodegradable artificial synapse implemented by foundry-compatible materials. Applied Physics Letters 117, 192105 (2020).
8. S. Zhong, X. Ji, Y. Zhou, Y. Zhang, A. Ye, R. Zhao. CMOS Compatible Transient Resistive Memory with Prolonged Lifetime. Advanced Materials Technologies, 4, 1900217 (2019)
9. S. Zhong, X., Ji, L. Song, Y. Zhang, R. Zhao. Enabling Transient electronics with degradation on demand via Light-responsive Encapsulation of Hydrogel/oxide bilayer. ACS Applied Interface & Interfaces. 10(42), (2018)
10. S. Zhong, Y. Cui. Metal and annealing atmospheres dependence of resistive switching in metal/Nb0.7wt%-SrTiO3 interfaces. Current Applied Physics 13(5):913–918, (2013)
11. S. Zhong, S. Duan, Y. Cui. Electrode dependence of resistive switching in Au/Ni-Au nanoparticle devices. RSC Advances 4(77), (2014)
