Yalong Wang

Beihang University

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Tuo Kang

Suzhou Institute of Nano-tech and Nano-bionics

Chenghao Liu

McGill University

Wei Lü

Nanjing University of Posts and Telecommunications

Liwei Chen

Shanghai Jiao Tong University

Feng Guo

University of Science and Technology of China

Yanbin Shen

Chinese Academy of Sciences

Shenjun Qi

Huaqiao University

Jiyan Huang

University of Electronic Science and Technology of China

Tongtong Zhang

Tsinghua University

Zhenjie Liu

Eugene Applebaum College of Pharmacy and Health Sciences

Cooperative Institutions

Chinese Academy of Sciences

University of Science and Technology of China

Suzhou Institute of Nano-tech and Nano-bionics

Beijing Institute of Technology

University of Chinese Academy of Sciences

Beihang University

University of Electronic Science and Technology of China

Southeast University

Jiangsu University

Cell Technology (China)

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Effect of W Addition on Fe-P-C-B Soft-Magnetic Amorphous Alloy

Materials (2022)

Cheng Sun Hongjie Xu Meng Yang Xinchao Wang Minhao Han

In this work, the thermal behavior, soft magnetic properties, and structure of Fe86−xP11C2B1Wx (x = 0, 0.1, 0.2, 0.4, 0.6, 0.8, 1, 2, and 4) amorphous alloys were researched by several experimental methods and ab initio molecular dynamics. The addition of W improved the thermal stability of the alloy system when the first onset crystallization temperature (Tx1) increased from 655 K to 711 K, significantly reduced the coercivity Hc, and decreased the saturation magnetization Bs. The Fe85.6P11C2B1W0.4 alloy showed optimal soft magnetic performance, with low Hc of 1.4 A/m and relatively good Bs of 1.52 T. The simulation results suggested that W atoms increased the distance of the neighboring Fe-Fe pair, reduced the coordination number, narrowed the gap between the spin-up and spin-down electrons of each atom, and decreased the average magnetic moment of the Fe atoms. This work demonstrates a micro-alloying strategy to greatly reduce Hc while maintaining high Bs.

Thermal Stability

Saturation (graph theory)

10.3390/ma15238416

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Citations (2)

Self-Assembled Monolayer Enables Slurry-Coating of Li Anode

ACS Central Science (2019)

Tuo Kang Yalong Wang Feng Guo Chenghao Liu Jianghui Zhao

Li metal has long been considered as the ultimate anodic material for high-energy-density batteries. Protection of Li metal in electrochemical cycling and in the manufacturing environment is critical for practical applications. Here, we present the passivation of the Li metal-carbon nanotube (CNT) composite with molecular self-assembly of a long-chain aliphatic phosphonic acid. The dynamics of the self-assembly process is investigated with sum-frequency generation spectroscopy (SFG). The aliphatic phosphonic acid molecules self-assemble on the Li metal surface via the lithium phosphate bonding, while the well-aligned long chains of the molecules help to prevent corrosion of lithium by oxygen and water in the air. As a result, the self-assembled monolayer (SAM) passivated Li-CNT composite displays excellent stability in dry or even humid air, and could be slurry-coated with organic solvents. The resulting slurry-coated Li anode exhibits a high Coulombic efficiency of 98.8% under a 33% depth of discharge (DOD) at a 1C rate in full battery cycling. The concept of molecular self-assembly on Li metal and the stability of the resulting SAM layer open vast possibilities of designed reagents for surface passivation of Li, which may eventually pave the way for practical application of Li metal in secondary batteries.

Passivation

10.1021/acscentsci.8b00845

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Citations (72)

Boundary Layer Transition Measurement Flight Test Based on Infrared Image Technique

IOP Conference Series Materials Science and Engineering (2020)

Hai Zhong Shenjun Qi Yalong Wang

Abstract According to the requirements of boundary layer transition detection measurement flight test, the study on the detection technique of infrared thermal image in real flight conditions was carried out. In this paper, the basic principle of infrared measurement technique was introduced firstly. Through the analysis of the main factors, such as emissivity, radiation incidence angle and temperature difference between the measured object and environment, the test means were determined, which includes surface treatment, infrared light path adjustment, solar radiation and internal heating of tested parts. Then the whole flight test method of boundary layer transition measurement was designed, including selecting test object and test instrument, determining test procedure and image processing procedure, and giving transition location criterion. Finally, the validity of this flight test method was demonstrated through testing results, the research of which would be helpful and meaningful in boundary layer transition measurement.

Flight test

10.1088/1757-899x/887/1/012011

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Citations (0)

A Sparse Arrays Sidelobe Suppression Method: Clean Algorithm for Joint Target Number Estimation

2019 IEEE International Conference on Signal, Information and Data Processing (ICSIDP) (2019)

Tongtong Zhang Jiyan Huang Wei Ding Yalong Wang

Sparse arrays provide high angular resolution and avoid the grating lobes, but the average and peak sidelobe level of the spase arrays are relatively high, that may lead to the occurrence of false targets. Although the traditional CLEAN method can effectively suppress the sidelobe in high SNR situation, it may fail under the severe channel environments. The traditional CLEAN algorithm needs to recalculate the threshold value every iteration, since threshold calculations depend on the results of each iteration, it may lead to false positives. In this paper, we propose a CLEAN algorithm for joint target number estimation. It rounds off the traditional clean algorithm's step of calculating the threshold for each iteration, and uses the target number as the CLEAN algorithm iteration number. The target number estimation based on deep neural network has better estimation performance under the severe channel environments. Therefore, we first use the deep neural network model to predict the number of targets, and then use the obtained result as the iterative termination condition of the CLEAN algorithm. Simulation result shows the effectiveness of the proposed method.

Threshold limit value

10.1109/icsidp47821.2019.9173252

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Citations (1)

Tunable single-longitudinal-mode Ho:YAG laser pumped by a 113 μm diode laser

Applied Optics (2017)

Wenjing Li Qing Wang Yalong Wang Yalan Wang Chunqing Gao

We demonstrate a tunable single-longitudinal-mode Ho:YAG laser pumped by a 1.13 μm diode. With two intracavity Fabry-Perot etalons, the maximum single-longitudinal-mode output power of 102 mW at 2129.6 nm is obtained. The wavelength is tuned from 2119.7 to 2131.5 nm by precisely rotating two etalons. The measured beam quality factors M2 are 1.29 and 1.28 in the x and y directions, respectively.

Longitudinal mode

10.1364/ao.56.009809

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Citations (7)

Enhanced Cyclability of C/Lithium Iron Phosphate Cathodes with a Novel water-soluble lithium-ion binder

Electrochimica Acta (2014)

Lei Qiu Ziqiang Shao Wen Jun Wang Feijun Wang Jianquan Wang

Lithium iron phosphate

Carboxymethyl cellulose

Electrospinning

10.1016/j.electacta.2014.08.042

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Citations (26)

Dynamic Adsorption and Desorption Properties of Xenon on Activated Carbon Fiber

Journal of Inorganic Materials (2006)

Zhanying Chen Wang Xuhui Yalong Wang Haitao Zhang Xie Jinchuan

Source

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Citations (1)

API Call Based Ransomware Dynamic Detection Approach Using TextCNN

Bin Qin Yalong Wang Changchun Ma

In recent years, the number of ransomware attacks has grown exponentially. Ransomware detection for Windows platforms has become extremely important. In the field of malware detection, the API call is used in many methods, and the API call sequence can be regarded as a sentence in the language. In this paper, the TextCNN model in the Natural Language Processing field is used to detect ransomware and the chunk-based max-pooling is used to improve the pooling layer of the TextCNN model. This paper proposes a Dynamic Ransomware Detector based on the improved TextCNN(DRDT). DRDT is trained with ransomware and benign software's API call sequences. Then API call sequences from unknown programs can be sent to DRDT to determine whether the files are ransomware. The experimental result shows that the detection speed of DRDT is faster than traditional methods, with the accuracy and F1 score of 0.959.

Ransomware

Pooling

System call

10.1109/icbaie49996.2020.00041

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Citations (22)

Advanced Lithium Metal–Carbon Nanotube Composite Anode for High-Performance Lithium–Oxygen Batteries

Nano Letters (2019)

Feng Guo Tuo Kang Zhenjie Liu Bo Tong Limin Guo

The low Coulombic efficiency and hazardous dendrite growth hinder the adoption of lithium anode in high-energy density batteries. Herein, we report a lithium metal–carbon nanotube (Li–CNT) composite as an alternative to the long-term untamed lithium electrode to address the critical issues associated with the lithium anode in Li–O2 batteries, where the lithium metal is impregnated in a porous carbon nanotube microsphere matrix (CNTm) and surface-passivated with a self-assembled monolayer of octadecylphosphonic acid as a tailor-designed solid electrolyte interphase (SEI). The high specific surface area of the Li–CNT composite reduces the local current density and thus suppresses the lithium dendrite formation upon cycling. Moreover, the tailor-designed SEI effectively separates the Li–CNT composite from the electrolyte solution and prevents the latter's further decomposition. When the Li–CNT composite anode is coupled with another CNTm-based O2 cathode, the reversibility and cycle life of the resultant Li–O2 batteries are drastically elevated.

Lithium metal

Carbon fibers

10.1021/acs.nanolett.9b02560

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Citations (77)

Analysis of Stability Margin of Dynamic Inverse Control Law for Flying Wing UAV

Journal of Physics Conference Series (2021)

Yalong Wang Shenjun Qi

Abstract The longitudinal and directional stability of flying wing UAV is poor, the coupling of triaxial force and torque is serious, and the control surface is special, so the flight control is difficult and the control law is complex. Taking a flying wing UAV as an example, the control laws of track tracking based on dynamic inverse control method and control allocation are designed. The applicability of traditional stability margin excitation method based on signal generator and pilot’s manual control is analyzed, and a stability margin excitation method based on three-a2xis control decoupling is proposed, which is verified by simulation. The results show that the stability margin of the designed three-axis dynamic inverse control law system meets the requirements, and the stability margin excitation method based on three-axis decoupling is suitable for the stability margin analysis of three-axis coupled UAV.

Decoupling (probability)

Stability derivatives

Margin (machine learning)

Electronic stability control

Longitudinal static stability

10.1088/1742-6596/1924/1/012005

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Citations (3)