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    题名 作者 年代 出处 被引量
1Microstructure and mechanical properties of Fe_xCoCrNiMn high-entropy alloys显示文摘The microstructure and tensile properties of FexCo Cr Ni Mn high-entropy alloys(HEAs) were investigated.It was found that the FexCo Cr Ni Mn HEA has a single face-centered cubic(fcc) structure in a wide range of Fe content. Further increasing the Fe content endowed the FexCo Cr Ni Mn alloys with an fcc/bodycentered cubic(bcc) dual-phase structure. The yield strength of the FexCo Cr Ni Mn HEAs slightly decreased with the increase of Fe content. An excellent combination of strength and ductility was achieved in the FexCo Cr Ni Mn HEA with higher Fe content, which can be attributed to the outstanding deformation coordination capability of the fcc/bcc dual phase structure.Tao Zhang Lijun Xin Fufa Wu Rongda Zhao Jun Xiang Minghua Chen Songshanjiang Yongjiang Huang Shunhua Chen 2019Journal of Materials Science & Technology2019,35,10:4
2Improved biomass productivity and water use efficiency under water deficit conditions in transgenic wheat constitutively expressing the barley HVA 1 gene显示文摘Elumalai Sivamani Ahmed Bahieldin Jon M Wraith Thamir Al-Niemi William E Dyer Tuan-Hua David Ho Rongda Qu 2000Plant Science2000,,1:2
3Option Pricing under the Double Exponential Jump-Diffusion Model with Stochastic Volatility and Interest Rate显示文摘This paper proposes an efficient option pricing model that incorporates stochastic interest rate(SIR),stochastic volatility(SV),and double exponential jump into the jump-diffusion settings.The model comprehensively considers the leptokurtosis and heteroscedasticity of the underlying asset’s returns,rare events,and an SIR.Using the model,we deduce the pricing characteristic function and pricing formula of a European option.Then,we develop the Markov chain Monte Carlo method with latent variable to solve the problem of parameter estimation under the double exponential jump-diffusion model with SIR and SV.For verification purposes,we conduct time efficiency analysis,goodness of fit analysis,and jump/drift term analysis of the proposed model.In addition,we compare the pricing accuracy of the proposed model with those of the Black-Scholes and the Kou(2002)models.The empirical results show that the proposed option pricing model has high time efficiency,and the goodness of fit and pricing accuracy are significantly higher than those of the other two models.Rongda Chen Zexi Li Liyuan Zeng Lean Yu Qi Lin Jia Liu 2017Journal of Management Science and Engineering2017,2,4:2
4Improved biomass productivity and water use efficiency under water deficit conditions in transgenic wheat constitutively expressing the barley HVA 1 gene显示文摘Elumalai Sivamani Ahmed Bahieldin Jon M Wraith Thamir Al-Niemi William E Dyer Tuan-Hua David Ho Rongda Qu 2000Plant Science2000,,1:2
5Triaxial compression behavior of Sand and gravel using artificial neural network (ANN) 显示文摘 Rongda Zhao 1999Computers and Geotechnics1999,,:1
6Triaxial compression behavior of sand and gravel using artificial neural networks (ANN)显示文摘PENUMADU D RONGDA Zhao 1999Computers and Geotechnics1999,24,3:1
7Two-dimensional supercritical fluid chromatography/mass spectrometry for the enantiomeric analysis and purification of pharmaceutical sam- pies显示文摘Zeng Lu Xu RongDa Zhang YiNong 2011J Chromatogr A2011,1218,20:1
8An improved rice transformation system using the biolistic method显示文摘Liangcai Li Rongda Qu Alexandre Kochko Claude Fauquet Roger N. Beachy 1993Plant Cell Reports1993,,5:1
9Virtual Geotechnical Laboratory Experiments Using a Simulator显示文摘Kayakar Penumadu Rongda Zhao David Frost 2000International Journal for Numerical and Analytical Methods in Geomechanics2000,24,5:1
10Preparation, thermal properties and flame retardancy of phosphorus- and silicon- containing epoxy resins显示文摘SPONTON M MERCADO L A RONGDA J C 2008Polymer Degradation and Stability2008,93,11:1
11Triaxial compression behavior ofsand and gravel using artificial neural networks(ANN)显示文摘Dayakar Penumadu Zhao Rongda 1999Comput-ers and Geotechnics1999,24,3:1
12Clustering-based probability distribution model for monthly residential building electricity consumption analysis显示文摘Electricity is now the major form of energy used in residential buildings and has seen a significant increase in usage over the past decades.One of the main features of electricity use in residential buildings is the diversity of total electricity consumption and use patterns among households.Current models may not be able to simulate and generate electricity use curves or reflect the variations accurately.To fill this gap,this research simulates electricity use curves in residential buildings with a clustering-based probability distribution model.The model extracts feature parameters to represent the electricity use level and patterns and then conducts a two-step cluster analysis to identify the distinctions of both electricity use levels and patterns.Based on the clustering results,probability distributions are fitted for all feature parameters within each sub-cluster.The model is then validated with three validation approaches.Monthly electricity consumption in households of the Jiangsu Province,China,was studied to test the performance of the model.Lastly,this paper discusses the application of this model under different spatial resolutions and analyzes the temporal-relevant model features.Jieyan Xu Xuyuan Kang Zheng Chen Da Yan Siyue Guo Yuan Jin Tianyi Hao Rongda Jia 2021Building Simulation2021,14,1:1
13The phase field investigation of B2 (FeA1) phase antisite defect during homogenous transformation of Fe-24A1 alloy显示文摘Zhao Rongda Zhu Jingchuan Liu Yong 2012J Mater Sci2012,47,:1
14For- mation of nanometer coherent structures during spinodal de- composition and ordering coexistence phase transformation in Fe-24A1 alloys显示文摘Zhao Rongda Zhu Jingchuan Lai Zhonghong 2012J Shanghai Jiaotong University (Sci)2012,17,4:1
15Somatic embryogenesis and plant regeneration of turf-type bermudagrass: Effect of 6-benzyladenine in callus induction medium显示文摘Ashok Chaudhury Rongda Qu 2000Plant Cell Tissue and Organ Culture2000,,2:1
16A SVM stock selection model within PCA 显示文摘YU Huanhuan CHEN Rongda ZHANG Guoping 2014Procedia computer science2014,31,:1
17An improving rice transformation system using the biolistic method显示文摘LIANGCAI L RONGDA Q ALEXANDRE DE KOCHKO 1993Plant Cell Reports1993,12,:1
18Preparation,thermalproperties and flame retardancv of phosphorus-and silicon-containing epoxy resins显示文摘Spontón M Mercado L A Rongda J C 2008Polymer Degradation and Stability2008,93,:1
19An improved rice transformation system using the biolistic method显示文摘Liangcai Li Rongda Qu Alexandre Kochko Claude Fauquet Roger N. Beachy 1993Plant Cell Reports1993,,5:1
20Virtual Geotechnical Laboratory Experiments Using a Simulator显示文摘Dayakar Penumadu Rongda Zhao 2000International Journal for Numerical and Analytical Methods in Geomechanics2000,24,5:1
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