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Enhanced Magnetic Moment of Epitaxial Υ´-Fe<sub>4</sub>N Films at Low Temperature
Shahid Atiq,Murtaza Saleem,Shahid M. Ramay,Saadat A. Siddiqi,M. Sabieh Anwar,신성철 한국물리학회 2012 THE JOURNAL OF THE KOREAN PHYSICAL SOCIETY Vol.60 No.10
Ferromagnetic iron nitride has fascinated the researchers owing to its amazing magnetic properties for spintronic applications. We have prepared single phase epitaxial thin films of Υ´-Fe<sub>4</sub>N on single crystal MgO(100) substrates using dc magnetron sputtering. X-ray diffraction revealed that substrate temperature and annealing time were most important parameters for single phase epitaxial growth of the films. Atomic force microscopy and scanning electron microscopy were utilized to investigate the surface morphology of the films. Angle dependent magnetic anisotropy was observed in epitaxial thin films of Υ´-Fe<sub>4</sub>N. A superconducting interference device was utilized to explore the magnetic and electrical behavior of Υ´-Fe<sub>4</sub>N films at low temperatures.
Shahid Ali,Manzar Sohail,Riaz Ahmed,Safyan Akram Khan,Muhammad Shahid Ansari 한국공업화학회 2015 Journal of Industrial and Engineering Chemistry Vol.28 No.-
Co@Pt (Co-core, Pt-shell) 4–10 nm sized particles supported on functionalized multi-walled carbonnanotubes (MWCNTs) have been synthesized and tested as efficient catalyst in direct methanol fuel cells(DMFCs). Catalytic activity and durability of all the catalysts for methanol oxidation (MO) have beenstudied in basic medium (0.5 M KOH) using cyclic voltammetry (CV). Chronoamperometry studiesrevealed that Co@Pt/MWCNTs has significantly high efficiency and stability than both Pt/MWCNTs andCo@Pt/MWCNTs catalysts. Mass activity exhibited by Co@Pt/MWCNTs for MO is 1.61 and 3.36 timeshigher than those of Pt–Co/MWCNTs and Pt/MWCNTs, respectively.
RAPID THERMAL LOAD ESTIMATION USING A SET OF SMART GRAPHS
SHAHID ALI KHAN,JOSEPH ANTHONY MENICUCCI JR,SARIM NAJI AL-ZUBAIDY 대한설비공학회 2013 International Journal Of Air-Conditioning and Refr Vol.21 No.1
The purpose of this research was to develop simple thermal load smart graphs for rapid thermal load estimation. These graphs were generated in order to facilitate a quick estimation of the thermal load. This is especially important when computer-aided heating, ventilation and airconditioning (HVAC) design software is unavailable. Hundreds of calculations have been carried out using various heat transfer equations and an hourly analysis program (HAP) generated graphs displaying the external and internal sensible and latent heat gains of analyzed spaces. These smart graphs are very user friendly; non-technical individuals can easily calculate the thermal load using these graphs. The smart graphs are time-saving and give results more accurate than thumb rules. In fact, they give a total thermal load estimate that is less than few percent di®erent from the estimate generated using commercial software programs.