Institution
Tongji University
Education•Shanghai, China•
About: Tongji University is a education organization based out in Shanghai, China. It is known for research contribution in the topics: Population & Adsorption. The organization has 76116 authors who have published 81176 publications receiving 1248911 citations. The organization is also known as: Tongji & Tóngjì Dàxué.
Topics: Population, Adsorption, Cancer, Finite element method, Lung cancer
Papers published on a yearly basis
Papers
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TL;DR: A fully convolutional network (FCN) model for classification and detection of tunnel lining defects, inspired by the state‐of‐the‐art deep learning, is proposed and shown to be very fast and efficient.
Abstract: Tunnel lining defects are an important indicator reflecting the safety status of shield tunnels. Inspired by the state‐of‐the‐art deep learning, a method for automatic intelligent classifi...
221 citations
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TL;DR: The fact that the rank reversal phenomenon occurs not only in the AHP but also in many other decision making approaches such as the Borda-Kendall method for aggregating ordinal preferences, the simple additive weighting method, the technique for order preference by similarity to ideal solution (TOPSIS) method, and the cross-efficiency evaluation method in data envelopment analysis (DEA).
221 citations
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TL;DR: In this article, a dual-model energy storage (DMES) mechanism for lithium-ion and sodium-ion batteries was proposed, in which black phosphorus quantum dots (BPQDs) and Ti3C2 nanosheets (TNSs) were employed as battery and pseudocapacitive components, respectively, to construct BPQD/TNS composite anodes with a novel battery-capacitive dual model energy storage mechanism.
Abstract: The exploration of new and efficient energy storage mechanisms through nanostructured electrode design is crucial for the development of high-performance rechargeable batteries. Herein, black phosphorus quantum dots (BPQDs) and Ti3C2 nanosheets (TNSs) are employed as battery and pseudocapacitive components, respectively, to construct BPQD/TNS composite anodes with a novel battery-capacitive dual-model energy storage (DMES) mechanism for lithium-ion and sodium-ion batteries. Specifically, as a battery-type component, BPQDs anchored on the TNSs are endowed with improved conductivity and relieved stress upon cycling, enabling a high-capacity and stable energy storage. Meanwhile, the pseudocapacitive TNS component with further atomic charge polarization induced by POTi interfacial bonds between the two components allows enhanced charge adsorption and efficient interfacial electron transfer, contributing a higher pseudocapacitive value and fast energy storage. The DMES mechanism is evidenced by substantial characterizations of X-ray photoelectron spectroscopy and X-ray absorption fine structure spectroscopy, density functional theory calculations, and kinetics analyses. Consequently, the composite electrode exhibits superior battery performance, especially for lithium storage, such as high capacity (910 mAh g−1 at 100 mA g−1), long cycling stability (2400 cycles with a capacity retention over 100%), and high rate capability, representing the best comprehensive battery performance in BP-based anodes to date.
221 citations
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TL;DR: Wang et al. as discussed by the authors described the pile-foundation heat exchangers applied in an energy pile system for an actual architectural complex in Shanghai, 30% of whose cooling/heating load was designed to be provided by a ground-source heat pump (GSHP) system using the energy piles.
221 citations
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TL;DR: In this paper, the authors examined four regulated emissions: nitrogen oxide, carbon monoxide, unburned hydrocarbon and smoke, and four typical unregulated emissions: formaldehyde, acetaldehyde and toluene.
221 citations
Authors
Showing all 76610 results
Name | H-index | Papers | Citations |
---|---|---|---|
Gang Chen | 167 | 3372 | 149819 |
Yang Yang | 164 | 2704 | 144071 |
Georgios B. Giannakis | 137 | 1321 | 73517 |
Jian Li | 133 | 2863 | 87131 |
Jianlin Shi | 127 | 859 | 54862 |
Zhenyu Zhang | 118 | 1167 | 64887 |
Ju Li | 109 | 623 | 46004 |
Peng Wang | 108 | 1672 | 54529 |
Qian Wang | 108 | 2148 | 65557 |
Yan Zhang | 107 | 2410 | 57758 |
Richard B. Kaner | 106 | 557 | 66862 |
Han-Qing Yu | 105 | 718 | 39735 |
Wei Zhang | 104 | 2911 | 64923 |
Fabio Marchesoni | 104 | 607 | 74687 |
Feng Li | 104 | 995 | 60692 |