Institution
Beihang University
Education•Beijing, China•
About: Beihang University is a education organization based out in Beijing, China. It is known for research contribution in the topics: Control theory & Microstructure. The organization has 67002 authors who have published 73507 publications receiving 975691 citations. The organization is also known as: Beijing University of Aeronautics and Astronautics.
Topics: Control theory, Microstructure, Nonlinear system, Artificial neural network, Feature extraction
Papers published on a yearly basis
Papers
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TL;DR: The recent progress in charge separation advanced by different types of polarization, such as macroscopic polarization, piezoelectric polarization, ferroelectric polarization, and surface polarization, is highlighted and the strategies and challenges for polarization enhancement to further enhance charge separation and photocatalysis are discussed.
Abstract: Semiconductor photocatalysis as a desirable technology shows great potential in environmental remediation and renewable energy generation, but its efficiency is severely restricted by the rapid recombination of charge carriers in the bulk phase and on the surface of photocatalysts. Polarization has emerged as one of the most effective strategies for addressing the above-mentioned issues, thus effectively promoting photocatalysis. This review summarizes the recent advances on improvements of photocatalytic activity by polarization-promoted bulk and surface charge separation. Highlighted is the recent progress in charge separation advanced by different types of polarization, such as macroscopic polarization, piezoelectric polarization, ferroelectric polarization, and surface polarization, and the related mechanisms. Finally, the strategies and challenges for polarization enhancement to further enhance charge separation and photocatalysis are discussed.
550 citations
TL;DR: This paper aims to propose utilizing vanilla LSTM neural networks to get good RUL prediction accuracy which makes the most of long short-term memory ability, in the cases of complicated operations, working conditions, model degradations and strong noises.
547 citations
TL;DR: In this paper, the authors examined the recent advancements in the science and technology of carbon nanotube (CNT)-based fibers and composites, and made an assessment according to the hierarchical structural levels of CNTs used in composites.
543 citations
542 citations
TL;DR: 5-dimension digital twin model provides reference guidance for understanding and implementing digital twin, and the frequently-used enabling technologies and tools for digital twin are investigated and summarized to provide Technologies and tools references for the applications of digital twin in the future.
541 citations
Authors
Showing all 67500 results
| Name | H-index | Papers | Citations |
|---|---|---|---|
| Yi Chen | 217 | 4342 | 293080 |
| H. S. Chen | 179 | 2401 | 178529 |
| Alan J. Heeger | 171 | 913 | 147492 |
| Lei Jiang | 170 | 2244 | 135205 |
| Wei Li | 158 | 1855 | 124748 |
| Shu-Hong Yu | 144 | 799 | 70853 |
| Jian Zhou | 128 | 3007 | 91402 |
| Chao Zhang | 127 | 3119 | 84711 |
| Igor Katkov | 125 | 972 | 71845 |
| Tao Zhang | 123 | 2772 | 83866 |
| Nicholas A. Kotov | 123 | 574 | 55210 |
| Shi Xue Dou | 122 | 2028 | 74031 |
| Li Yuan | 121 | 948 | 67074 |
| Robert O. Ritchie | 120 | 659 | 54692 |
| Haiyan Wang | 119 | 1674 | 86091 |