화학공학소재연구정보센터
검색결과 : 38건
No. Article
1 Monte-Carlo-simulation-based optimization for copolymerization processes with embedded chemical composition distribution
Ma YN, Chen X, Biegler LT
Computers & Chemical Engineering, 109, 261, 2018
2 Design Strategy for the Multilayer Core-Shell Bioceramics with Controlled Chemistry
Liu LM, He DS, Yang XY, Zhang L, Yang GJ, Dai XS, Gou ZR
Journal of the American Ceramic Society, 99(7), 2243, 2016
3 Activation treatment effects on characteristics of BeO layer and secondary electron emission properties of an activated Cu-Be alloy
Wang B, Wu ED, Wang YL, Xiong LY, Liu S
Applied Surface Science, 355, 19, 2015
4 A Monte Carlo-based feeding policy for tailoring microstructure of copolymer chains: Reconsidering the conventional metallocene catalyzed polymerization of alpha-olefins
Saeb MR, Mohammadi Y, Ahmadi M, Khorasani MM, Stadler FJ
Chemical Engineering Journal, 274, 169, 2015
5 Improved kinetic Monte Carlo simulation of chemical composition-chain length distributions in polymerization processes
Van Steenberge PHM, D'hooge DR, Reyniers MF, Marin GB
Chemical Engineering Science, 110, 185, 2014
6 Synthesis of gradient copolymers with simultaneously tailor-made chain composition distribution and glass transition temperature by semibatch ATRP: From modeling to application
Zhou YN, Li JJ, Luo ZH
Journal of Polymer Science Part A: Polymer Chemistry, 50(15), 3052, 2012
7 Application of a Crystallization Kinetics Model to Simulate the Effect of Operation Conditions on Crystaf Profiles and Calibration Curves
Anantawaraskul S, Somnukguandee P, Soares JBP, Limtrakul J
Journal of Polymer Science Part B: Polymer Physics, 47(9), 866, 2009
8 Influence of reaction temperature on the particle-composition distributions and activities of polyol-synthesized Pt-Ru/C catalysts for methanol oxidation
Gan L, Du HD, Li BH, Kang FY
Journal of Power Sources, 191(2), 233, 2009
9 Dynamic prediction of the bivariate molecular weight-copolymer composition distribution using sectional-grid and stochastic numerical methods
Krallis A, Meimaroglou D, Kiparissides C
Chemical Engineering Science, 63(17), 4342, 2008
10 Single-crystal growth of NiMnGa magnetic shape memory alloys
Wang JM, Jiang CB
Journal of Crystal Growth, 310(4), 865, 2008