Institution
Nanjing Tech University
Education•Nanjing, China•
About: Nanjing Tech University is a education organization based out in Nanjing, China. It is known for research contribution in the topics: Catalysis & Membrane. The organization has 21827 authors who have published 21794 publications receiving 364050 citations. The organization is also known as: Nangongda & Nánjīng Gōngyè Dàxúe.
Topics: Catalysis, Membrane, Adsorption, Chemistry, Microstructure
Papers published on a yearly basis
Papers
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TL;DR: A smart nanoplatform sequentially responsive to light, low pH and hypoxia is demonstrated for multi-mode imaging guided synergistic cancer therapy with negligible skin phototoxicity and demonstrates a promising future in cancer photo-chemo theranostics with excellent skin protection.
102 citations
TL;DR: The focus is on meeting challenges that arise from system identification and damage assessment for the civil infrastructure but the presented theories also have a considerably broader applicability for inverse problems in science and technology.
Abstract: Bayesian inference provides a powerful approach to system identification and damage assessment for structures. The application of Bayesian method is motivated by the fact that inverse problems in s...
102 citations
TL;DR: This skin-attachable self-cleaning ultrasensitive and ultrafast acoustic sensor based on reduced graphene oxide/polydimethylsiloxane composite film with bio-inspired microcracks and hierarchical surface textures exhibits an ultrahigh sensitivity, an ultralow detection limit, an ultrafast response/recovery behavior, and reliable detection of acoustic vibrations over the audible frequency range with high signal-to-noise ratios.
Abstract: Human voice recognition systems (VRSs) are a prerequisite for voice-controlled human-machine interfaces (HMIs). In order to avoid interference from unexpected background noises, skin-attachable VRS...
102 citations
TL;DR: It is revealed that efficient deprotonation of the undesirable organic cations by a metal oxide interlayer with a high isoelectric point is critical to promote the transition of intermediate phases to highly emissive perovskite films and establish useful guidelines for rational device optimization.
Abstract: Metal halide perovskites are emerging as promising semiconductors for cost-effective and high-performance light-emitting diodes (LEDs). Previous investigations have focused on the optimisation of the emissive perovskite layer, for example, through quantum confinement to enhance the radiative recombination or through defect passivation to decrease non-radiative recombination. However, an in-depth understanding of how the buried charge transport layers affect the perovskite crystallisation, though of critical importance, is currently missing for perovskite LEDs. Here, we reveal synergistic effect of precursor stoichiometry and interfacial reactions for perovskite LEDs, and establish useful guidelines for rational device optimization. We reveal that efficient deprotonation of the undesirable organic cations by a metal oxide interlayer with a high isoelectric point is critical to promote the transition of intermediate phases to highly emissive perovskite films. Combining our findings with effective defect passivation of the active layer, we achieve high-efficiency perovskite LEDs with a maximum external quantum efficiency of 19.6%.
102 citations
TL;DR: In this article, the effects of composition and the sintering temperature on the micro-morphology, phase development and pore structure of porous mullite support were investigated extensively, and it was found that the excess SiO 2 in kaolin was consumed rapidly by adding the alumina precursors with the formation of secondary mullite in the temperature range of 1300-1500°C.
102 citations
Authors
Showing all 22047 results
| Name | H-index | Papers | Citations |
|---|---|---|---|
| Yi Chen | 217 | 4342 | 293080 |
| Richard H. Friend | 169 | 1182 | 140032 |
| Hua Zhang | 163 | 1503 | 116769 |
| Wei Huang | 139 | 2417 | 93522 |
| Jian Zhou | 128 | 3007 | 91402 |
| Haiyan Wang | 119 | 1674 | 86091 |
| Jian Liu | 117 | 2090 | 73156 |
| Lain-Jong Li | 113 | 627 | 58035 |
| Hong Wang | 110 | 1633 | 51811 |
| Jun-Jie Zhu | 103 | 754 | 41655 |
| Stefan Kaskel | 101 | 705 | 36201 |
| Hong Liu | 100 | 1905 | 57561 |
| Dirk De Vos | 96 | 642 | 33214 |
| Peng Li | 95 | 1548 | 45198 |
| Feng Liu | 95 | 1067 | 38478 |