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| 1 | Preparation of ZrB_(2)-MoSi_(2) high oxygen resistant coating using nonequilibrium state powders by self-propagating high-temperature synthesis显示文摘To achieve high oxygen blocking structure of the ZrB_(2)-MoSi_(2) coating applied on carbon structural material,ZrB_(2)-MoSi_(2) coating was prepared by spark plasma sintering(SPS)method utilizing ZrB_(2)-MoSi_(2) composite powders synthesized by self-propagating high-temperature synthesis(SHS)technique as raw materials.The oxygen blocking mechanism of the ZrB_(2)-MoSi_(2) coatings at 1973 K was investigated.Compared with commercial powders,the coatings prepared by SHS powders exhibited superior density and inferior oxidation activity,which significantly heightened the structural oxygen blocking ability of the coatings in the active oxidation stage,thus characterizing higher oxidation protection efficiency.The rise of MoSi_(2) content facilitated the dispersion of transition metal oxide nanocrystals(5-20 nm)in the SiO_(2) glass layer and conduced to the increasing viscosity,thus strengthening the inerting impact of the compound glass layer in the inert oxidation stage.Nevertheless,the ZrB_(2)-40 vol% MoSi_(2) coating sample prepared by SHS powders presented the lowest oxygen permeability of 0.3% and carbon loss rate of 0.29×10^(6)g·cm^(-2)·s^(-1).Owing to the gradient oxygen partial pressure inside the coatings,the Si-depleted layer was developed under the compound glass layer,which brought about acute oxygen erosion. | Menglin ZHANG Xuanru REN Mingcheng ZHANG Songsong WANG Li WANG Qingqing YANG Hongao CHU Peizhong FENG | 2021 | Journal of Advanced Ceramics2021，10，5： | 2 |
| 2 | Development and characterization of a rat model ofchronic obstructive pulmonary disease(COPD)inducedby sidestream cigarette smoke显示文摘 | Zheng Hongao Liu Yuening Huang Tian | 2009 | Toxicol Letters2009，189，： | 1 |
| 3 | Development and characterization of a rat model of chronic obstructive pulmonary disease (COPD) induced by sidestream cigarette smoke显示文摘 | Hongao Zheng Yuening Liu Tian Huang Zheman Fang Guishuang Li Shaoheng He | 2009 | Toxicology Letters2009，，3： | 1 |
| 4 | Multi-Site Spectrographic and Heliographic Observations of Radio Fine Structure on April 10, 2001显示文摘 | G. P. Chernov R. A. Sych Yihua Yan Qijun Fu Chengming Tan Guangli Huang De-Yu Wang Hongao Wu | 2006 | Solar Physics2006，，2： | 1 |
| 5 | A New Solar Broadband Radio Spectrometer (SBRS) in China显示文摘 | Qijun Fu Huirong Ji Zihai Qin Zhicai Xu Zhiguo Xia Hongao Wu Yuying Liu Yihua Yan Guangli Huang Zhijun Chen Zhenyu Jin Qijun Yao Congling Cheng Fuying Xu Min Wang Libei Pei Shanhuai Chen Guo Yang Chenming Tan Suobiao Shi | 2004 | Solar Physics2004，，1： | 1 |
| 6 | Attribute-Based Keyword Search over the Encrypted Blockchain显示文摘To address privacy concerns, data in the blockchain should be encrypted in advance to avoid data access fromall users in the blockchain. However, encrypted data cannot be directly retrieved, which hinders data sharing inthe blockchain. Several works have been proposed to deal with this problem. However, the data retrieval in theseschemes requires the participation of data owners and lacks finer-grained access control. In this paper, we proposean attribute-based keyword search scheme over the encrypted blockchain, which allows users to search encryptedfiles over the blockchain based on their attributes. In addition, we build a file chain structure to improve theefficiency of searching files with the same keyword. Security analysis proves the security of the proposed scheme.Theoretical analysis and experimental results in performance evaluation show that our scheme is feasible andefficient. | Zhen Yang Hongao Zhang Haiyang Yu Zheng Li Bocheng Zhu Richard O.Sinnott | 2021 | Computer Modeling in Engineering & Sciences2021，，7： | 1 |
| 7 | Positively drifting structures during the 18 March 2003 solar flare 显示文摘 | Ning Zongjun Wu Hongao Xu Fuying | 2007 | Solar Physics2007，241，1： | 1 |
| 8 | PREPARATION OF HIGH T_(c) Pb-DOPED Bi-BASED SUPERCONDUCTING AMORPHOUS SOLID显示文摘The Pb-doped Bi-based amorphous solid has been prepared by the anvil quenching method from the melt.After annealing,we obtained the dense superconductor with onset and zero resistance temperature at 120K and 107K,respectively.X-ray powder diffraction(XRD)and selected area electron diffract ion(SAED)analysis show that there is mainly high Tc phase(2223 phase)in the sample,and scanning electron microscopy(SEM)observation of the surface of the sample reveals that the needle-like grain abound in sample.Energy dispersive analysis of X-ray(EDAX)indicates that the average composition of grains is Bi_(2)Pb_(0.3)Sr_(1.3)Ca_(1.7)Cu_(2.3)O_(δ). | CHEN Meiling LI Xiaoge WANG Keyi LI Shuzhen XU Shihong WU Chengjiu TANG Hongao | 1990 | Chinese Physics Letters1990，7，3： | 0 |
| 9 | Rapid health estimation of in-service battery packs based on limited labels and domain adaptation显示文摘For large-scale in-service electric vehicles(EVs)that undergo potential maintenance,second-hand transactions,and retirement,it is crucial to rapidly evaluate the health status of their battery packs.However,existing methods often rely on lengthy battery charging/discharging data or extensive training samples,which hinders their implementation in practical scenarios.To address this issue,a rapid health estimation method based on short-time charging data and limited labels for in-service battery packs is proposed in this paper.First,a digital twin of battery pack is established to emulate its dynamic behavior across various aging levels and inconsistency degrees.Then,increment capacity sequences(△Q)within a short voltage span are extracted from charging process to indicate battery health.Furthermore,data-driven models based on deep convolutional neural network(DCNN)are constructed to estimate battery state of health(SOH),where the synthetic data is employed to pre-train the models,and transfer learning strategies by using fine-tuning and domain adaptation are utilized to enhance the model adaptability.Finally,field data of 10 EVs exhibiting different SOHs are used to verify the proposed methods.By using the△Q with 100 m V voltage change,the SOH of battery packs can be accurately estimated with an error around 3.2%. | Zhongwei Deng Le Xu Hongao Liu Xiaosong Hu Bing Wang Jingjing Zhou | 2024 | Journal of Energy Chemistry2024，89，2： | 0 |
| 10 | Million-scale data integrated deep neural network for phonon properties of heuslers spanning the periodic table显示文摘Existing machine learning potentials for predicting phonon properties of crystals are typically limited on a material-to-materialbasis, primarily due to the exponential scaling of model complexity with the number of atomic species. We address this bottleneckwith the developed Elemental Spatial Density Neural Network Force Field, namely Elemental-SDNNFF. The effectiveness andprecision of our Elemental-SDNNFF approach are demonstrated on 11,866 full, half, and quaternary Heusler structures spanning 55elements in the periodic table by prediction of complete phonon properties. Self-improvement schemes including active learningand data augmentation techniques provide an abundant 9.4 million atomic data for training. Deep insight into predicted ultralowlattice thermal conductivity (<1 Wm^(−1) K^(−1)) of 774 Heusler structures is gained by p–d orbital hybridization analysis. Additionally, aclass of two-band charge-2 Weyl points, referred to as “double Weyl points”, are found in 68% and 87% of 1662 half and 1550quaternary Heuslers, respectively. | Alejandro Rodriguez Changpeng Lin Hongao Yang Mohammed Al-Fahdi Chen Shen Kamal Choudhary Yong Zhao Jianjun Hu Bingyang Cao Hongbin Zhang Ming Hu | 2023 | npj Computational Materials2023，，1： | 0 |
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