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Akademický článek

Particle Swarm Optimization Combined with Q-learning of Experience Sharing Strategy

Autor: LUO Yixuan, LIU Jianhua, HU Renyuan, ZHANG Dongyang, BU Guannan

Publikováno v: Jisuanji kexue yu tansuo, Vol 16, Iss 9, Pp 2151-2162 (2022)

Particle swarm optimization (PSO) has shortcomings such as easy to fall into local optimum, insufficient diversity and low precision. Recently, adopting the strategy of combining the reinforcement learning method like Q-learning to improve the PSO al

Externí odkaz: https://doaj.org/article/5c8634dc87254eb8a8a262fea28cff0f

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Akademický článek

Digital engine boosts the new vitality of rural education: The role and innovation of college students

Autor: Fu Lijuan, Wang Yehong, Feng Jiahui, Zhou Jun, Huang Xinyi, Luo Yixuan, Yuan Shengzhao

Publikováno v: SHS Web of Conferences, Vol 187, p 02026 (2024)

Education informatization has entered a new stage, and education digitalization is of great significance to promoting the high-quality development of rural education and helping rural revitalization. The research shows that the digital transformation

Externí odkaz: https://doaj.org/article/0537d2f307c746ea9defb7fcbdf6e8f8

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Report

Evidence of spin density waves in La$_3$Ni$_2$O$_{7-\delta}$

Autor: Chen, Kaiwen, Liu, Xiangqi, Jiao, Jiachen, Zou, Muyuan, Luo, Yixuan, Wu, Qiong, Zhang, Ningyuan, Guo, Yanfeng, Shu, Lei

The recently discovered superconductivity with critical temperature $T_c$ up to 80 K in the double-layer Nickelate La$_3$Ni$_2$O$_{7-\delta}$ under pressure has drawn great attention. Here we report the positive muon spin relaxation ($\mu^+$SR) study

Externí odkaz: http://arxiv.org/abs/2311.15717

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Machine Learning Automated Approach for Enormous Synchrotron X-Ray Diffraction Data Interpretation

Autor: Zhao, Xiaodong, Luo, YiXuan, Liu, Juejing, Liu, Wenjun, Rosso, Kevin M., Guo, Xiaofeng, Geng, Tong, Li, Ang, Zhang, Xin

Manual analysis of XRD data is usually laborious and time consuming. The deep neural network (DNN) based models trained by synthetic XRD patterns are proved to be an automatic, accurate, and high throughput method to analysis common XRD data collecte

Externí odkaz: http://arxiv.org/abs/2303.10881

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