An Introduction to High Power Pulsed Magnetron Sputtering Muhammad Yasira‚ Zhenghua Tana‚ Seyed Ali Rezvanib‚Xuebing Yuanb a School of Materials Science and Engineering‚ Huazhong University of Science and Engineering‚ Wuhan‚ Hubei‚ 430074‚ P.R. China b School of Mechanical Science and Engineering‚ Huazhong University of Science and Engineering‚ Wuhan‚ Hubei‚ 430074‚ P.R. China High power pulsed magnetron sputtering ‚namely HPPMS for short‚ is an emerging technology that is gaining
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NASL PEER REVIEW OF COAL FIRED THERMAL POWER STATIONS & BEST PRACTICES IN POWER GENERATION Hosted by Ministry of Power Govt. of India & NTPC Limited February 2008 INDIA RENOVATION & MODERNISATION OF THERMAL POWER PLANTS PRESENTATION BY NTPC-ALSTOM POWER SERVICES PRIVATE LIMITED by K. V. Ramachandra Setty AGM Business Development 1 NASL NASL – Introduction NASL Promoters’ strengths Retrofit Solutions Role of CDM R&M/Retrofit solution – case Studies 2 NTPC-ALSTOM Power Services
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ARTICLES PUBLISHED ONLINE: 21 FEBRUARY 2010 | DOI: 10.1038/NNANO.2010.15 Nanowire transistors without junctions Jean-Pierre Colinge*‚ Chi-Woo Lee‚ Aryan Afzalian†‚ Nima Dehdashti Akhavan‚ Ran Yan‚ Isabelle Ferain‚ Pedram Razavi‚ Brendan O’Neill‚ Alan Blake‚ Mary White‚ Anne-Marie Kelleher‚ Brendan McCarthy and Richard Murphy All existing transistors are based on the use of semiconductor junctions formed by introducing dopant atoms into the semiconductor material. As the distance between
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Unit-II: MOS/BiCMOS Process Technology and Integration Introduction BiCMOS = CMOS + Bipolar (BJT) structures on the same substrate. Advantanges of CMOS device: 1. Low Power 2. High digital IC density. Advantages of Bipolar transistors: 1. Ability to deliver large drive currents 2. Capability to rapidly charge heavy loads. The implementation of digital bipolar circuits with emitter-coupled logic (ECL) gates permits small logic swings and excellent noise immunity
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The OIL INDUSTRY includes the global processes of exploration‚ extraction‚ refining‚ transporting (often by oil tankers and pipelines)‚ and marketing petroleum products. The largest volume products of the industry are fuel oil and gasoline (petrol). Petroleum is also the raw material for many chemical products‚ including pharmaceuticals‚ solvents‚ fertilizers‚ pesticides‚ and plastics. The industry is usually divided into three major components: upstream‚ midstream and downstream. Midstream operations
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FIND A CAREER IN PETROPHYSICS | GREENPEACE’S AYLIFFE VS. FTI’S BLACKMON | GUIDE TO ABU DHABI The Magazine by and for Young Professionals in Oil and Gas VOL. 9 // ISSUE 2 // 2013 PUBLIC PERCEPTION OUR INDUSTRY An Official Publication of The Society of Petroleum Engineers • www.spe.org Contents 2 3 4 8 Americas Office Office hours: 0730–1700 CST (GMT–5) Monday–Friday 222 Palisades Creek Dr.‚ Richardson‚ TX 75080-2040 USA Tel: +1.972.952.9393 Fax: +1.972.952.9435 Email: spedal@spe
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Chapter 1: Technical Measurement and Vector 5. Newton’s law of universal gravitation is represented by [pic] where F is the gravitational force‚ M and m are masses‚ and r is a length. Force has the SI units kg ∙ m/s2. What are the SI units of the proportionality constant G? 8. The speed of light is now defined to be 2.99 7924 58 × 108 m/s. Express the speed of light to (a) three significant figures‚ (b) five significant figures‚ and (c) seven significant figures. 15. A rectangular
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ALLOY STEELS I. A. ALLOYING ELEMENTS Any metallic element added during the making of steel for the purpose of increasing corrosion resistance‚ hardness‚ or strength. The metals used most commonly as alloying elements in stainless steel include chromium‚ nickel‚ and molybdenum. Characteristic of alloying elements Very important elements for alloy steels are manganese‚ nickel‚ chromium‚ molybdenum‚ vanadium‚ tungsten‚ silicon‚ copper‚ cobalt and boron. All commercial steels contain 0‚3-0
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International Journal of Heat and mass Transfer‚ Vol. 54 (2011) 2602-2608. M. J. Peet ‚ H. S. Hasan and H. K. D. H. Bhadeshia1 Published in the International Journal of Heat and Mass Transfer Vol. 54 (2011) page 2602-2608 doi:10.1016/j.ijheatmasstransfer.2011.01.025 Abstract A model of thermal conductivity as a function of temperature and steel composition has been produced using a neural network technique based upon a Bayesian statistics framework. The model allows the estimation of conductivity
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