화학공학소재연구정보센터
검색결과 : 330건
No. Article
11 YbPO4 nano-cylinders formation and alignment within optical fiber preforms using fiber-drawing process
Kinowski C, El Hamzaoui H, Capoen B, Bouwmans G, Blanchenet AM, Delplace K, Prochet B, Bouazaoui M
Materials Research Bulletin, 97, 293, 2018
12 Growth mechanism and wave-absorption properties of multiwalled carbon nanotubes fabricated using a gaseous detonation method
Zhao TJ, Li XJ, Wang Y, Lee JHS, Yan HH
Materials Research Bulletin, 102, 153, 2018
13 Morphology of phase-separated VO2 films deposited on TiO2-(001) substrate
Cho YJ, Aritomi S, Kanki T, Kinoshita K, Endo N, Kondo Y, Shindo D, Tanaka H, Murakami Y
Materials Research Bulletin, 102, 289, 2018
14 Hierarchically MoS2 nanospheres assembled from nanosheets for superior CO gas-sensing properties
Zhou Q, Hong CX, Yao Y, Hussain S, Xu LN, Zhang QY, Gui YG, Wang MS
Materials Research Bulletin, 101, 132, 2018
15 MoSe2 nanoflower as the saturable absorber for 1 mu m and 2 mu m passively Q-switched bulk state laser
Wang XH, Xu JL, Xia HP, You ZY, Huang YS, Lin ZB, Tu CY
Materials Research Bulletin, 99, 168, 2018
16 Wet chemical synthesis of ZnO-CdS composites and their photocatalytic activity
Zgura I, Preda N, Socol G, Ghica C, Ghica D, Enculescu M, Negut I, Nedelcu L, Frunza L, Ganea CP, Frunza S
Materials Research Bulletin, 99, 174, 2018
17 Structural and morphological characteristics of CuMe2O4 spinels in reductive atmosphere depending on the chemical nature of Me(III) cations
Plyasova LM, Zaikovskii VI, Simentsova II, Shtertser NV, Minyukova TP, Yurieva TM
Materials Research Bulletin, 99, 314, 2018
18 A simple way to prepare a hydrophobic Sr[LiAl3N4]:Eu2+ phosphor with improved moisture resistance
Zhong H, Wang JW, Dong BB, Li L, Yang MY, Yu JL, Xu X, Agathopoulos S
Materials Research Bulletin, 105, 260, 2018
19 Modulating domain structures in Al2O3-based oxide heterostructures
Wang K, Zheng H, Wen GY, Zhao LG, Cao F, Lv YH, Wei YJ, Zhao PL, Wang JB, Jia SF
Materials Research Bulletin, 106, 465, 2018
20 Fully automated primary particle size analysis of agglomerates on transmission electron microscopy images via artificial neural networks
Frei M, Kruis FE
Powder Technology, 332, 120, 2018