Zobrazeno 1 - 10
of 165
pro vyhledávání: '"Lianqing Liu"'
Autor:
Peilin Zhou, Yuechao Wang, Hao Luo, Wenxiu Zhao, Yangdong Wen, Lianqing Liu, Ya Zhong, Wuhao Zou, Haibo Yu
Publikováno v:
ACS Applied Materials & Interfaces. 13:39550-39560
Tunable microlens arrays (MLAs) with controllable focal lengths have been extensively used in optical sensors, biochips, and electronic devices. The commonly used method is electrowetting on dielectric (EWOD) that controls the contact angle of the mi
Publikováno v:
IEEE Sensors Journal. 21:6497-6509
Morphology and texture detection, which are important components of tactile sensing, augment the response of human beings to external stimuli. Similarly, tactile sensing-based information acquisition systems in robots can help enhance the interaction
Autor:
Haibo Yu, Peiwen Li, Boliang Jia, Xiaoduo Wang, Y. J. Zhang, Ye Qiu, Wen J. Li, Lianqing Liu, Yangdong Wen
Publikováno v:
IEEE Open Journal of Nanotechnology, Vol 2, Pp 161-177 (2021)
Femtosecond laser processing is fast becoming a pervasive method for fabricating micro/nanostructures because it can be used to produce micro/nanostructures on myriads of materials with high precision and resolution, requires little control over envi
Publikováno v:
ACS Applied Materials & Interfaces. 13:1057-1064
Inverse photoconductance is an uncommon phenomenon observed in selective low-dimensional materials, in which the electrical conductivity of the materials decreases under light illumination. The unique material property holds great promise for biomedi
Autor:
Yangdong Wen, Wenxiu Zhao, Pan Li, Xiaoduo Wang, Lianqing Liu, Feifei Wang, Wen J. Li, Haibo Yu, Zhixing Ge
Publikováno v:
Biophys J
Super-resolution imaging using microspheres has attracted tremendous scientific attention recently because it has managed to overcome the diffraction limit and allowed direct optical imaging of structures below 100 nm without the aid of fluorescent m
Publikováno v:
IEEE Transactions on Neural Networks and Learning Systems. 31:3570-3578
Reinforcement learning (RL) is an efficient learning approach to solving control problems for a robot by interacting with the environment to acquire the optimal control policy. However, there are many challenges for RL to execute continuous control t
Publikováno v:
2021 IEEE 11th Annual International Conference on CYBER Technology in Automation, Control, and Intelligent Systems (CYBER).
Although superhydrophobic surfaces have been extensively studied in the past, few studies have achieved optical encryption through the manipulation of droplets combined with the surface superhydrophobic properties. We present here our work in using f
Publikováno v:
IEEE Transactions on Cybernetics. 49:3168-3179
The state-of-the-art online learning approaches are only capable of learning the metric for predefined tasks. In this paper, we consider a lifelong learning problem to mimic "human learning," i.e., endowing a new capability to the learned metric for
Autor:
Zhang Dingdong, Lai-Peng Ma, Xiao Wang, Junsheng Yu, Mao-Lin Chen, Yi-Lun Hong, Meng Li, Paul L. Burn, Weimin Zhang, Hui-Ming Cheng, Jinhong Du, Dong-Ming Sun, Lianqing Liu, Hui Jin, Wencai Ren
Publikováno v:
ACS Nano. 13:5513-5522
Clean transfer of two-dimensional (2D) materials grown by chemical vapor deposition is critical for their application in electronics and optoelectronics. Although rosin can be used as a support layer for the clean transfer of graphene grown on Cu, it
Autor:
Zhu Liu, Yangdong Wen, Haibo Yu, Wenxiu Zhao, Yang Yang, Lianqing Liu, Feifei Wang, Wen J. Li
Publikováno v:
Sensors and Actuators A: Physical. 285:89-97
Micro/nano-particles have attracted much interest in many research fields due to their unique optical, electrical, and chemical properties. However, many of these particles disperse in solutions during storage or usage, making their actual concentrat