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Institution

Tongji University

EducationShanghai, 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.


Papers
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Journal ArticleDOI
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

Journal ArticleDOI
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

Journal ArticleDOI
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 POTi 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

Journal ArticleDOI
Jun Gao1, Xu Zhang1, Jun Liu1, Kuishan Li1, Jie Yang1 
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

Journal ArticleDOI
01 Mar 2012-Energy
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

NameH-indexPapersCitations
Gang Chen1673372149819
Yang Yang1642704144071
Georgios B. Giannakis137132173517
Jian Li133286387131
Jianlin Shi12785954862
Zhenyu Zhang118116764887
Ju Li10962346004
Peng Wang108167254529
Qian Wang108214865557
Yan Zhang107241057758
Richard B. Kaner10655766862
Han-Qing Yu10571839735
Wei Zhang104291164923
Fabio Marchesoni10460774687
Feng Li10499560692
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023238
20221,051
20219,713
20208,502
20197,517
20186,352