Themes of journal: 1) Mechanical engineering and engineering science; 2) Mathematics and mechanics; 3) Mechatronics and robotics; 4) Transport, mining and construction machinery; 5) Power, metallurgical and chemical engineering; 6) Aviation, rocket and space technology; 7) Shipbuilding; 8) Instrument making, Metrology and information-measuring devices and systems; 9) Radio engineering and communications; 10) Electrical and Electronics; 11) Informatics, computer engineering and management; 12) Engineering geometry and computer graphics; 13) Materials science; 14) Technology of food products; 15) Technology of materials and products textile and light industry; 16) Technology, machinery and equipment of Agroengineering systems; 17) Construction and architecture; 18) Safety of human activities; 19) Education in mechanical engineering; 20) Economics of engineering production.
Computer simulation is an indispensable research tool in modeling, understanding and predicting nanoscale phenomena. However, the advanced computer codes used by researchers are too complicated for graduate students wanting to understand computer simulations of physical systems. This book gives students the tools to develop their own codes. Describing advanced algorithms, the book is ideal for students in computational physics, quantum mechanics, atomic and molecular physics, and condensed matter theory. It contains a wide variety of practical examples of varying complexity to help readers at all levels of experience. An algorithm library in Fortran 90, available online at www.cambridge.org/9781107001701, implements the advanced computational approaches described in the text to solve physical problems.
Computational Materials Science provides the theoretical basis necessary for understanding atomic surface phenomena and processes of phase transitions, especially crystallization, is given. The most important information concerning computer simulation by different methods and simulation techniques for modeling of physical systems is also presented. A number of results are discussed regarding modern studies of surface processes during crystallization. There is sufficiently full information on experiments, theory, and simulations concerning the surface roughening transition, kinetic roughening, nucleation kinetics, stability of crystal shapes, thin film formation, imperfect structure of small crystals, size dependent growth velocity, distribution coefficient at growth from alloy melts, superstructure ordering in the intermetallic compound.
Computational experiments described in the last chapter allow visualization of the course of many processes and better understanding of many key problems in Materials Science. There is a set of practical steps concerning computational procedures presented. Open access to executable files in the book make it possible for everyone to understand better phenomena and processes described in the book.
A Balanced Introduction to Computer Science, 3/e is ideal for Introduction to Computing and the Web courses in departments of Math and Computer Science.
A close relationship exists between GIS and numerous applications, including cartography, photogrammetry, geodesy, surveying, computer and information science, and statistics, among others. Scientists coined the term "geographic information science (GIScience)" to describe the theory behind these fields. A Research Agenda for Geographic Information Science extensively details the issues and fundamental scientific problems that must be solved if the use of GIS in these and other fields is to advance.
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