Abstract
Materials science is an important part of engineering to discover new materials for various applications. Computational techniques are the essential tool to identify and analyze various engineering materials. Every computational technique has its pro and cons. There are many scales of computational techniques, e.g., nanoscale, microscale, mesoscale simulations, etc. To identify different aspects of engineering materials, all these techniques are important. In this chapter, the authors tried to explain the pros and cons of some nanoscale simulation techniques. In addition to this, the authors also tried to explain the fundamental concepts of these nanoscale simulation techniques.
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Corresponding Author “Akarsh Verma” is grateful to the monetary support provided by the University of Petroleum and Energy Studies (UPES)-SEED Grant program.
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Singh, S.K., Chaurasia, A., Verma, A. (2023). Basics of Density Functional Theory, Molecular Dynamics, and Monte Carlo Simulation Techniques in Materials Science. In: Verma, A., Sethi, S.K., Ogata, S. (eds) Coating Materials. Materials Horizons: From Nature to Nanomaterials. Springer, Singapore. https://doi.org/10.1007/978-981-99-3549-9_5
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