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Controllable annulus micro-/nanostructures on copper fabricated by femtosecond laser with spatial doughnut distribution 被引量:6
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作者 biwei wu Cong Wang +4 位作者 Zhi Luo Junhui Li Shu Man Kaiwen Ding Ji’an Duan 《Chinese Optics Letters》 SCIE EI CAS CSCD 2020年第1期100-104,共5页
In this study,we propose an effective method for the fabrication of annulus micro-/nanostructures by a femtosecond laser doughnut beam.Compared with the traditional Bessel annulus beam shaping system,this method great... In this study,we propose an effective method for the fabrication of annulus micro-/nanostructures by a femtosecond laser doughnut beam.Compared with the traditional Bessel annulus beam shaping system,this method greatly compresses the light propagation path.It is theoretically and experimentally demonstrated that the obtained axial section of the peak envelope in the processing area is two waists of the isosceles triangle.By moving the relative position of the sample,annulus microstructures with different diameters on copper sheet could be fabricated.In addition,laser induced periodic surface structures with controllable direction are fabricated by this optical system. 展开更多
关键词 FEMTOSECOND LASER pulse SHAPING doughnut beam LASER induced periodic surface structures
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A Dynamic and Deadline-Oriented Road Pricing Mechanism for Urban Traffic Management 被引量:1
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作者 Jiahui Jin Xiaoxuan Zhu +2 位作者 biwei wu Jinghui Zhang Yuxiang Wang 《Tsinghua Science and Technology》 SCIE EI CAS CSCD 2022年第1期91-102,共12页
Road pricing is an urban traffic management mechanism to reduce traffic congestion.Currently,most of the road pricing systems based on predefined charging tolls fail to consider the dynamics of urban traffic flows and... Road pricing is an urban traffic management mechanism to reduce traffic congestion.Currently,most of the road pricing systems based on predefined charging tolls fail to consider the dynamics of urban traffic flows and travelers’demands on the arrival time.In this paper,we propose a method to dynamically adjust online road toll based on traffic conditions and travelers’demands to resolve the above-mentioned problems.The method,based on deep reinforcement learning,automatically allocates the optimal toll for each road during peak hours and guides vehicles to roads with lower toll charges.Moreover,it further considers travelers’demands to ensure that more vehicles arrive at their destinations before their estimated arrival time.Our method can increase the traffic volume effectively,as compared to the existing static mechanisms. 展开更多
关键词 road pricing traffic congestion al eviation deep reinforcement learning
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