Zobrazeno 1 - 10
of 81
pro vyhledávání: '"Qingxuan Li"'
Autor:
Qingxuan Li, Siwei Wang, Zhenhai Li, Xuemeng Hu, Yongkai Liu, Jiajie Yu, Yafen Yang, Tianyu Wang, Jialin Meng, Qingqing Sun, David Wei Zhang, Lin Chen
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-9 (2024)
Abstract With the development of wearable devices and hafnium-based ferroelectrics (FE), there is an increasing demand for high-performance flexible ferroelectric memories. However, developing ferroelectric memories that simultaneously exhibit good f
Externí odkaz:
https://doaj.org/article/d2a00105e28d4eb0878efc0ea00eb151
Publikováno v:
Frontiers in Immunology, Vol 15 (2024)
BackgroundThe clinical presentation of Community-acquired pneumonia (CAP) in hospitalized patients exhibits heterogeneity. Inflammation and immune responses play significant roles in CAP development. However, research on immunophenotypes in CAP patie
Externí odkaz:
https://doaj.org/article/5c9f989b5aac473a8bf8e3933d7ae36c
Autor:
Tianyu Wang, Jialin Meng, Xufeng Zhou, Yue Liu, Zhenyu He, Qi Han, Qingxuan Li, Jiajie Yu, Zhenhai Li, Yongkai Liu, Hao Zhu, Qingqing Sun, David Wei Zhang, Peining Chen, Huisheng Peng, Lin Chen
Publikováno v:
Nature Communications, Vol 13, Iss 1, Pp 1-8 (2022)
Neuromorphic computing memristors are attractive to construct low-power- consumption electronic textiles. Here, authors report an ultralow-power textile memristor network of Ag/MoS2/HfAlOx/carbon nanotube with reconfigurable characteristics and firin
Externí odkaz:
https://doaj.org/article/7aa372687aa742a0bb3ae2578c2376da
Autor:
Yuqing Fang, Qingxuan Li, Jialin Meng, Tianyu Wang, Hao Zhu, Qing‐Qing Sun, David Wei Zhang, Lin Chen
Publikováno v:
Advanced Electronic Materials, Vol 9, Iss 6, Pp n/a-n/a (2023)
Abstract With the rapid development of artificial intelligence (AI), there is an urgent need for developing a biological sensory perception system that can simulate the human brain for information processing. Inspired by the biological vision system,
Externí odkaz:
https://doaj.org/article/eda8ce62197941cba3e9f6c26f9a1b9a
Autor:
Yuanyuan Cao, Yilun Liu, Yafen Yang, Qingxuan Li, Tianbao Zhang, Li Ji, Hao Zhu, Lin Chen, Qingqing Sun, David Wei Zhang
Publikováno v:
Advanced Electronic Materials, Vol 9, Iss 5, Pp n/a-n/a (2023)
Abstract Advanced synaptic devices capable of neuromorphic data processing are widely studied as the building block in the next‐generation computing architecture for artificial intelligence applications. Due to its fast speed, low power, and excell
Externí odkaz:
https://doaj.org/article/bc45409555c8466691e64add3dbd0c49
Publikováno v:
ACS Omega, Vol 6, Iss 18, Pp 11897-11901 (2021)
Externí odkaz:
https://doaj.org/article/5e3e1ae2ed574a60adc9b1251a72d45e
Autor:
Hongcai Liu, Qingxuan Li, Yu Ding, Xuesheng Liu, Jiapeng Hu, Boyi Yang, Youqiang Liu, Zhiyong Wang
Publikováno v:
Crystals, Vol 13, Iss 2, p 290 (2023)
We developed a high-power, double-intracavity-frequency, diode-side-pumped, Q-switched Nd:YAG laser. The thermal birefringence effect of Nd:YAG crystal was compensated by a quartz rotating mirror, and the stable cavity structure was designed accordin
Externí odkaz:
https://doaj.org/article/7d19a3a2de6a467d8f44c8d96dfd16a5
Publikováno v:
PLoS ONE, Vol 14, Iss 5, p e0216230 (2019)
Organelle selective imaging can reveal structural and functional characters of cells undergoing external stimuli, and is considered critical in revealing biological fundamentals, designing targeted delivery system, and screening potential drugs and t
Externí odkaz:
https://doaj.org/article/e102f7337cc141b5864e8c9ef4101a28
Publikováno v:
Journal of Materials Science & Technology. 145:7-13
Publikováno v:
Nanoscale. 15:313-320
Artificial neural networks (ANNs) have learning and computing capabilities, and alleviate the problem of high power consumption of traditional von Neumann architectures, providing a basis for advanced image recognition and low-power detection.