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| 1 | Elemental Content in Brown Rice by Inductively Coupled Plasma Atomic Emission Spectroscopy Reveals the Evolution of Asian Cultivated Rice显示文摘The phylogenetic relationship for classification traits and eight mineral elements in brown rice(Oryza sativa L.) from Yunnan Province in China was carried out using microwave assisted digestion followed by inductively coupled plasma atomic emission spectroscopy,and the analytical procedures were carefully controlled and validated.In general,the results show that the mean levels of K,Ca,Mg,Fe and Cu in brown rice for 789 accessions of rice landraces was distinctly lower than that of improved cultivars.They further demonstrate that Ca plays an important role in the differentiation of subspecies indica-japonica,especially to enhance adaptation of cold stress,and that five mineral elements in brown rice enhance the eurytopicity from landrace to improved cultivar.Hierarchical cluster analysis,using average linkage from SPSS software based on eight mineral elements in brown rice,showed that Yunnan rice could be grouped into rice landrace and improved cultivar,with the rice landrace being further clustered into five subgroups,and that,interestingly,purple rice does not cluster with either of the groups.Our present data confirm that indica is the closest relative of late rice and white rice,and that they constitute rice landraces together,whereas japonica is the closest relatives of non-nuda,early-mid and glutinous rice.It is further shown that japonica,non-nuda,early-mid,glutinous,white and red rice might be more primitive than indica,nuda,late,non-glutinous and purple rice,respectively. | Yawen Zeng Luxiang Wang Juan Du Jiafu Liu Shuming Yang Xiaoying Pu Fenghui Xiao | 2009 | Journal of Integrative Plant Biology2009，51，5： | 4 |
| 2 | Atom table convolutional neural networks for an accurate prediction of compounds properties显示文摘Machine learning techniques are widely used in materials science.However,most of the machine learning models require a lot of prior knowledge to manually construct feature vectors.Here,we develop an atom table convolutional neural networks that only requires the component information to directly learn the experimental properties from the features constructed by itself.For band gap and formation energy prediction,the accuracy of our model exceeds the standard DFT calculations.Besides,through dataenhanced technology,our model not only accurately predicts superconducting transition temperatures,but also distinguishes superconductors and non-superconductors.Utilizing the trained model,we have screened 20 compounds that are potential superconductors with high superconducting transition temperature from the existing database.In addition,from the learned features,we extract the properties of the elements and reproduce the chemical trends.This framework is valuable for high throughput screening and helpful to understand the underlying physics. | Shuming Zeng Yinchang Zhao Geng Li Ruirui Wang Xinming Wang Jun Ni | 2019 | npj Computational Materials2019，，1： | 4 |
| 3 | 3D carbon network supported porous SiOC ceramics with enhanced microwave absorption properties显示文摘Porous SiOC ceramic was successfully prepared by pyrolysis of dimethylsilicone oil,silane coupling agent and melamine foam.The microwave absorbing properties of porous SiOC were studied for the first time.At the matching layer thickness of 3.0 mm,the paraffin-based composite with porous SiOC displays a minimum reflection coefficient(RC)of-39.13 d B(11.76 GHz)and an effective absorption bandwidth(EAB)of 4.64 GHz which are much larger than that of paraffin-based composite with ordinary SiOC.It is found that the porous structure of SiOC is crucial to achieve its high microwave absorption performance by improving both the polarization loss and conduction loss.The enhanced polarization loss is originated from the dipole polarization and interfacial polarization,while the improvement of conduction loss is attributed to the carbon skeleton of porous SiOC.These results indicate that porous SiOC ceramic is a promising candidate for high-performance ceramic-based microwave absorbing materials. | Chen Chen Sifan Zeng Xiaochun Han Yongqiang Tan Wanlin Feng Huahai Shen Shuming Peng Haibin Zhang | 2020 | Journal of Materials Science & Technology2020，54，19： | 3 |
| 4 | Fabric changes induced by super-absorbent polymer on cementelime stabilized excavated clayey soil显示文摘This paper studies the microstructure variation induced by super-absorbent polymer(SAP)to understand the mechanism of macroscopic strength improvement of stabilized soil.The fabric changes of cement elime stabilized soil were analyzed with respect to the variation of SAP content,water content,lime content and curing time,using mercury intrusion porosimetry(MIP)tests.It can be observed that the delimitation pore diameter between inter-and intra-aggregate pores was 0.2 mm for the studied soil,determined through the intrusion/extrusion cycles.Experimental results showed that fabric in both inter-and intra-aggregate pores varied significantly with SAP content,lime content,water content and curing time.Two main changes in fabric due to SAP are identified as:(1)an increase in intra-aggregate pores(<0.2 mm)due to the closer soilecementelime cluster space at higher SAP content;and(2)a decrease in inter-aggregate pores represented by a reduction in small-pores(0.2e2 mm)due to the lower pore volume of soil mixture after water absorption by SAP,and a slight increase in large-pores(>2 mm)due to the shrinkage of SAP particle during the freezeedry process of MIP test.Accordingly,the strength gain due to SAP for cementelime stabilized soil was mainly due to a denser fabric with less interaggregate pores.The cementitious products gradually developed over time,leading to an increase in intra-aggregate pores with an increasing proportion of micro-pores(0.006e0.2 mm).Meanwhile,the inter-aggregate pores were filled by cementitious products,resulting in a decrease in total void ratio.Hence,the strength development over time is attributable to the enhancement of cementation bonding and the refinement of fabric due to the increasing cementitious compounds. | Xia Bian Lingling Zeng Xiaozhao Li Xiusong Shi Shuming Zhou Fuqing Li | 2021 | Journal of Rock Mechanics and Geotechnical Engineering2021，13，5： | 3 |
| 5 | Comparison of different combined treatment processes to address the source water with high concentration of natural organic matter during snowmelt period显示文摘The source water in one forest region of the Northeast China had very high natural organic matter(NOM) concentration and heavy color during snowmelt period. The efficiency of five combined treatment processes was compared to address the high concentration of NOM and the mechanisms were also analyzed. Conventional treatment can hardly remove dissolved organic carbon(DOC) in the source water. KMn O4pre-oxidization could improve the DOC removal to 22.0%. Post activated carbon adsorption improved the DOC removal of conventional treatment to 28.8%. The non-sufficient NOM removal could be attributed to the dominance of large molecular weight organic matters in raw water, which cannot be adsorbed by the micropore upon activated carbon. O3+ activated carbon treatment are another available technology for eliminating the color and UV254 in water. However, its performance of DOC removal was only 36.4%, which could not satisfy the requirement for organic matter. The limited ozone dosage is not sufficient to mineralize the high concentration of NOM. Magnetic ion-exchange resin combined with conventional treatment could remove 96.2%of color, 96.0% of UV254 and 87.1% of DOC, enabling effluents to meet the drinking water quality standard. The high removal efficiency could be explained by the negative charge on the surface of NOM which benefits the static adsorption of NOM on the anion exchange resin. The results indicated that magnetic ion-exchange resin combined with conventional treatment is the best available technology to remove high concentration of NOM. | Pengfei Lin Xiaojian Zhang Jun Wang Yani Zeng Shuming Liu Chao Chen | 2015 | Journal of Environmental Sciences2015，27，1： | 2 |
| 6 | Fine mapping a QTL qCTB7 for cold tolerance at the booting stage on rice chromosome 7 using a near-isogenic line显示文摘 | Lei Zhou Yawen Zeng Weiwei Zheng Bo Tang Shuming Yang Hongliang Zhang Jinjie Li Zichao Li | 2010 | Theoretical and Applied Genetics2010，，5： | 2 |
| 7 | 查看详情显示文摘 | Isao Mochida ShuMing Zeng Yozo Korai | | 0，，01： | 1 |
| 8 | Rheologic behaviors of A356 aluminum alloy billet produced by semisolid continuous casting process显示文摘The experiments for rheologic behaviors of semisolid continuous casting billets of A356 alloy in semisolid state had been carried out with a multifunctional rheometer. The results show that the deformation rate increases with loading time, the maximum strain reaches to 120% (which is one time larger than that of traditional mold casting billet) and the strain can be rapidly eliminated to 10% after unloading. Moreover, there is a critic stress for billet deformation even in semisolid state, which is named as critic shear stress. This stress increases with the decreasing of heating time. The theologic behaviors can be expressed by five elements mechanical model (H2- [N1|H2]-[N2|S]) and can be modified with the increasing of heating time. | Shuming Xing Lizhong ZHANG Yunhui DU Daben ZENG Jinlin TANG | 2004 | China Foundry2004，1，1： | 1 |
| 9 | Preparation of Isotropic Pitch Precursors for General Purpose Carbon Fibers (GPCF) by Air blowing-I :Preparation of Spinnable Isotropic Pitch Precursor From Coal Tar by Air Blowing显示文摘 | Maeda T Zeng Shuming Tokumitsu K | 1993 | Carbon1993，31，3： | 1 |
| 10 | Optimization of the cavity facet coating in high power GaN-based semiconductor laser diodes显示文摘A method to calculate the reflectivity of the coated cavity facet was proposed, and the distribution of the optical power near the two coated cavity facets was calculated for GaN-based laser diodes. A new design method for reducing the optical power at the two cavity facets without changing the output power of laser diodes was discussed, which is helpful to optimize the cavity facet coating and raise the threshold current at which catastrophic optical damage occurs. | FENG MeiXin ZHANG ShuMing JIANG DeSheng WANG Hui LIU JianPing ZENG Chang LI ZengCheng WANG HuaiBing WANG Feng YANG Hui | 2012 | Science China(Technological Sciences)2012，55，4： | 1 |
| 11 | Characteristics of InGaN-based superluminescent diodes with one-sided oblique cavity facet显示文摘We have fabricated InGaN-based superluminescent diodes(SLDs)with one-sided oblique facet.The characteristics of the SLDs and laser diodes with the same cavity length(800 lm)were compared.The typical peak wavelength and the full width at half maximum of the spectrum in superluminescence regime are 445.3 and 7.7 nm for the SLDs with 800 lm cavity length.The characteristics of the SLDs with different cavity length were also demonstrated in a comparative way.It is found that the gain of the InGaN multi-quantum wells in blue spectral range is a linear function of the current density below gain saturation region.The lasing threshold current turns out to be higher for the shorter SLD(S-SLD)(400 lm),but the output light intensity of the longer SLD(800 lm)is higher than that of the S-SLD under the same current density.The gain saturation phenomenon was observed in S-SLD when it was biased at a current density larger than 27.5 kA/cm2.The increase of junction temperature was identified as the main reason for gain saturation through spectra analysis. | Chang Zeng Shuming Zhang Jianping Liu Deyao Li Desheng Jiang Meixin Feng Zengcheng Li Kun Zhou Feng Wang Huaibing Wang Hui Wang Hui Yang | 2014 | Chinese Science Bulletin2014，59，16： | 0 |
| 12 | Element-wise representations with ECNet for material property prediction and applications in high-entropy alloys显示文摘When developing deep learning models for accurate property prediction,it is sometimes overlooked that some material physical properties are insensitive to the local atomic environment.Here,we propose the elemental convolution neural networks(ECNet)to obtain more general and global element-wise representations to accurately model material properties.It shows better prediction in properties like band gaps,refractive index,and elastic moduli of crystals.To explore its application on high-entropy alloys(HEAs),we focus on the FeNiCoCrMn/Pd systems based on the data of DFT calculation.The knowledge from less-principal element alloys can enhance performance in HEAs by transfer learning technique.Besides,the element-wise features from the parent model as universal descriptors retain good accuracy at small data limits.Using this framework,we obtain the concentration-dependent formation energy,magnetic moment and local displacement in some sub-ternary and quinary systems.The results enriched the physics of those high-entropy alloys. | Xinming Wang Nguyen-Dung Tran Shuming Zeng Cong Hou Ying Chen Jun Ni | 2022 | npj Computational Materials2022，，1： | 0 |
| 13 | New carbazole-substituted siloles for the fabrication of efficient non-doped OLEDs显示文摘Luminogenic molecules with aggregation-induced emission(AIE) property are free of aggregationcaused quenching and thus have great potential in the fabrication of efficient non-doped OLEDs. Herein, a series of new carbazole-substituted siloles have been synthesized and characterized. Their crystal and electronic structures, thermal stabilities, electrochemical behaviors, and photophysical properties are thoroughly investigated. These silole derivatives exhibit prominent AIE characteristics with high emission efficiencies in solid films. They can function as light-emitting layers in non-doped OLEDs,affording eminent electroluminescence efficiencies of 17.59 cd/A, 12.55 Im/W and 5.63%, amongst the most efficient non-doped OLEDs based on fluorescent emitters, indicating their promising applications in OLEDs. | Yi Xiong Jiajie Zeng Bin Chen Jacky W.Y.Lam Zujin Zhao Shuming Chen Ben Zhong Tang | 2019 | Chinese Chemical Letters2019，30，3： | 0 |
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