Jie Wang

Nanjing Normal University

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Jianxin Fu

University of Science and Technology Beijing

Weidong Song

University of Science and Technology Beijing

Lidong Li

University of Science and Technology Beijing

Fu Tang

University of Science and Technology Beijing

Chuang Yao

Yangtze Normal University

Qing-Yun Xiang

Yunnan University

Jiangli Cao

University of Science and Technology of China

Yongfang Zhang

Xi'an University of Technology

Qun Li

North China University of Science and Technology

Lin Li

Chinese Academy of Sciences

Cooperative Institutions

Robert Bosch (Germany)

Chinese Academy of Sciences

Laboratoire de Chimie Moléculaire et Thioorganique

Weatherford College

Magneto Special Anodes (Netherlands)

University of Science and Technology Beijing

Sichuan University

Xiamen University

University of Chinese Academy of Sciences

Central South University

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Flame Retardancy and Smoke Suppression of Silicone Rubber Foams with Chitosan and Cyclodextrin

Combustion Science and Technology (2023)

Chunhui Lyu Junqing Meng Yanan Hou Lijuan Wang Jie Wang

Flame‐retardant silicone rubber foams (SRF) were prepared by dehydrogenation at room temperature with chitosan (CS) and cyclodextrin (CD) as flame retardants. The flame retardancy, smoke suppression, mechanical properties, and thermal stability of SRF with CS and CD were tested using the UL-94 test, limiting oxygen index (LOI), cone calorimeter test (CCT), compression test, field emission scanning electron microscope (FESEM), and thermogravimetry analysis (TGA). The results indicated that the fire behavior was good when the content of CS and CD was 1 wt%, and the CD had a flame-retardant efficiency better than CS. The combination of 0.6 wt% CS and 0.4 wt% CD had the best synergistic flame-retardant efficiency, smoke suppression, and excellent thermal stability. The 0.6%CS/0.4%CD/SRF achieved an LOI value of 30% and a UL-94 V-0 rating and did not drip. Compared with pure SRF, the peak heat release rate (pHRR), the total heat release (THR), the peak smoke production rate (pSPR), and the total smoke production (TSP) decreased by 60.00%, 55.52%, 53.82%, and 55.00%, and the char residue increased by 17.40%. However, the addition of CS and CD slightly worsened the mechanical properties of SRF, and the compressive strength of 0.6%CS/0.4%CD/SRF was reduced by 3.62%.

Limiting oxygen index

Cone calorimeter

Thermal Stability

Silicone rubber

Thermogravimetry

10.1080/00102202.2023.2225128

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Citations (2)

Mesoporous Single‐Crystal FeFe(CN)6 Microspheres for Superior Potassium‐Ion Storage

Angewandte Chemie (2025)

Zhanhu Guo Yifan Xu Yichen Du Shiling Zhang Zeyu Yuan

Metal hexacyanoferrates (HCFs), also known as Prussian blue analogues, are ideal cathodes for potassium‐ion batteries (PIBs) due to their nontoxicity and cost‐effectiveness. Nevertheless, obtaining metal HCF cathode materials with both long‐term cycling stability and high rate performance remains a daunting challenge. In this study, we present mesoporous single‐crystalline iron hexacyanoferrate (MSC‐FeHCF) microspheres, featuring a single‐crystalline structure that contains interconnected pores spanning the entire crystal lattice. This unique architecture not only enables the electrolyte to fully penetrate into the single crystal, but also shorten the K+ diffusion distance. Additionally, the confinement effect of mesopores on interior water mitigates the excessive side reactions. The stress during battery cycling can be dispersed through multiple paths to alleviate the internal strain. The MSC‐FeHCF microspheres exhibit unprecedented long‐term cycling performance, achieving a specific discharge capacity of 123.5 mAh g−1 at 30 mA g−1 and 87.1 mAh g−1 after 2000 cycles at 500 mA g−1, providing 85.8% of the initial capacity. More importantly, the MSC‐FeHCF microspheres exhibit high rate capability, delivering 86.7 mAh g−1 at 3 A g−1. This study introduces an innovative strategy for engineering metal HCF cathode materials, thereby opening a novel avenue for the development of high‐efficiency electrode materials for PIBs.

10.1002/ange.202422723

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Regulating structural dimensionality and emission colors by organic conjugation between Sm^III at a fixed distance

Dalton Transactions (2018)

Hai‐Bing Xu Jie Wang Xueli Chen Peng Xu Kang-Tai Xiong

The conjugation of bridging bis(diphenylphosphine oxide) alkane or arene ligands was found to control the structural dimensionality and the emission color of complexes from reactions with SmIII(hfac)3(H2O)2 (hfac- = hexafluoroacetylacetonato) while retaining the SmSm distances. Bis(diphenylphosphine oxide)-1,4-butane (L1) affords a one-dimensional (1D) ribbon {Sm(hfac)3(L1)}∞ (1) that emits red color, while bis(diphenyl-phosphinoyl)-1,4-benzene (L2) results in a two-dimensional (2D) network {Sm(hfac)2(CF3COO)(L2)3}∞ (2) and near-white emission, but bis(diphenyl-phosphinoyl)-9,10-anthracene (L3) forms a zero-dimensional (0D) cyclic structure {Sm(hfac)3(L3)}2 (3) with strong ππ interactions that emit green color. Noticeably, the conjugation change is accompanied by a configurational change of coordination from trans for 1 and 2 to cis for 3. The color change is associated with the superposition of ligand and Sm based electronic band energies and their intensities. Such white light emission by a single compound having contributions from different building components is quite rare.

Chromaticity

Diphenylphosphine oxide

Diphenylphosphine

Butane

Ribbon

Phosphine oxide

10.1039/c8dt00238j

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Citations (6)

Advanced Design of a III‐Nitride Light‐Emitting Diode via Machine Learning

Laser & Photonics Review (2023)

Zhuoying Jiang Ying Jiang Mengyu Chen Jinchai Li Penggang Li

Abstract Gallium nitride (GaN)‐based light‐emitting diodes (LEDs) have obtained great market success in the past 20 years. However, the traditional research paradigm, i.e., experimental trial‐and‐error method, no longer adapts to the industry development. In this work, an efficient approach is demonstrated to design and optimize GaN‐based LED structures via machine learning (ML). By using the dataset of GaN‐based LED structures over the past decade to train four typical ML models, it is found that the convolutional neural network (CNN) provides the most accurate prediction, with a root mean square error (RMSE) of 1.03% for internal quantum efficiency (IQE) and 11.98 W cm −2 for light output power density (LOPD). Based on the CNN model, 1) the feature importance analysis is adopted to reveal the critical features for LED performance; 2) the predicted trends of IQE and LOPD match well with the physical mechanism, being consistent with the experimental and simulation results; and 3) a high‐throughput screening is demonstrated to predict the properties of over 20 000 structures within seconds to obtain high efficiency LED structures. This ML‐based LED design method enables direct guiding of the LED structure optimization in terms of key parameter selection during manufacturing and greatly accelerates the development cycle of GaN‐based LEDs.

Quantum Efficiency

10.1002/lpor.202300113

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Citations (3)

Wastewater treatment and simultaneous production of algal lipids in sequencing batch reactors containing a microalgal-bacterial consortium

International Biodeterioration & Biodegradation (2022)

Yuanda Du Meng-yu Qin Li Shu Yan-ling Zou Jie Wang

Sequencing batch reactor

10.1016/j.ibiod.2022.105491

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Citations (14)

Preparation of a fixed-tetraphenylethylene motif bridged ditopic benzo-21-crown-7 and its application for constructing AIE supramolecular polymers

Chinese Chemical Letters (2020)

Tangxin Xiao Jie Wang Yong Shen Cheng Bao Zhengyi Li

Tetraphenylethylene

Supramolecular Polymers

10.1016/j.cclet.2020.10.037

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Citations (47)

Study of Secondary Market Trading on Customer Side with Participation of Multiple Types of Load Resources

2021 IEEE 5th Conference on Energy Internet and Energy System Integration (EI2) (2022)

Bei Sun Yi Ming Xue Li Zhou Jie Wang

In order to promote the high efficiency operation of the new power system "source-load interaction" mode, it is needed to fully explore the regulation potential of the adjustable load on the user side. At this stage, the mining of user-side resources is mostly focused on the primary regulation market directly participated by some of the large users and load aggregators, while the trading potential of users within aggregators in the secondary market is less examined. Therefore, in this paper, we study the secondary market trading on the customer side agented by load aggregators, hoping to enhance the load regulation potential while also promoting the consumption of new energy and reducing the deviation of user-side electricity consumption. Finally, the paper concludes with the example analysis to verify the effectiveness of the trading.

Demand side

Load management

Secondary market

Consumption

10.1109/ei256261.2022.10117273

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Experimental Study on Pore Variation and Meso-Damage of Saturated Sandstone Under Unloading Condition

Rock Mechanics and Rock Engineering (2023)

Jianxin Fu Wenchao Chen Yuye Tan Jie Wang Weidong Song

Variation (astronomy)

10.1007/s00603-023-03293-4

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Citations (14)

Integrated Approaches for COVID-19 Case Finding and Their Impact on Timeliness for Disease Containment — Changning District, Shanghai Municipality, China, January–July, 2020

China CDC Weekly (2021)

Xubin Zheng Jie Wang Enmao Cai Yu Jiang Hong Tang

What is already known on this topic? The demand for containing the virus and protecting the economy is high on the agenda of policymakers during the coronavirus disease 2019 (COVID-19) pandemic. Modelling studies indicated that highly effective contact tracing and case isolation were enough to contain the spread of COVID-19 at the early stages, but this has not been validated in real world contexts. What is added by this report? Integrated case finding approaches, including outpatient monitoring, exposed people quarantining, and contact tracing, effectively contained the spread of COVID-19 in a densely populated district in Shanghai Municipality, China. Active case-finding involving quarantine of exposed persons and contact tracing could reduce the time from symptom onset to COVID-19 diagnosis, thus reducing the risk of local transmission. What are the implications for public health practice? Active case-finding should be prioritized as an effective approach to minimize the risk of local transmission in future pandemics. Integrated COVID-19 case finding approaches applied in Shanghai may inform public health policy in other regions where strict lockdown is not applicable.

Contact tracing

Pandemic

Isolation

Containment (computer programming)

2019-20 coronavirus outbreak

10.46234/ccdcw2021.149

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Citations (1)

The existence of solutions for nonlinear fractional boundary value problem and its Lyapunov-type inequality involving conformable variable-order derivative

Journal of Inequalities and Applications (2020)

Jie Wang Shuqin Zhang

Abstract We consider a nonlinear fractional boundary value problem involving conformable variable-order derivative with Dirichlet conditions. We prove the existence of solutions to the considered problem by using the upper and lower solutions’ method with Schauder’s fixed-point theorem. In addition, under some assumptions on the nonlinear term, a new Lyapunov-type inequality is given for the corresponding boundary value problem. The obtained inequality provides a necessary condition for the existence of nontrivial solutions to the considered problem and a method to prove uniqueness for the nonhomogeneous boundary value problem. These new results are illustrated through examples.

Conformable matrix

Directional derivative

10.1186/s13660-020-02351-7

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Citations (3)