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Molecular Dynamics - Theory and Applications

Molecular Dynamics - Theory and Applications

Hardcover

Series: Mechanical Engineering

Technology & EngineeringChemistryPhysics

Currently unavailable to order

ISBN10: 3031845668
ISBN13: 9783031845666
Publisher: Springer
Published: Jun 5 2025
Pages: 462
Weight: 2.22
Height: 1.07 Width: 6.52 Depth: 9.30
Language: English

This book originated from seminars given at the Institute of Nuclear Energy Technology (INET) of Tsinghua University, China, by the author in 1999. The courses gave graduate students a basic understanding of numerical techniques that would enable them to deal with problems of Computational Fluid Dynamics (CFD) and of molecular dynamics at research level. In subsequent years the lecture notes have been re-organized and implemented for students of atmospheric sciences of the Physics Department of the University of Ferrara, Italy. The lecture notes are divided into eight chapters, where some chapters are characterized by a scholastic approach. Specifically, Chapter 1 describes the theoretical basis of molecular dynamics, Chapter 2 gives examples of applications, like the Bénard problem; and Chapter 3 presents a summary of applications of DLA (Diffusion Limited Aggregation). The remainder of the book follows a less conventional approach, mainly informed by the author's experience in the development of computer programs and in teaching. Chapter 4 is dedicated to a comparison of traditional and advanced methods of analysing nuclear safety problems in thermal and fast reactors, Chapter 5 concerns simulation of thermophoresis and aerosol displacement in atmospheric physics, and Chapter 6 discusses thermal confinement of cosmic particles due to thermophoretic forces in space domain. Addressing the recognized difficulty of proceeding from the theoretical formulations found in textbooks to properly working computer programs, and the typically large gap between the theoretical foundation and the final result, Molecular Dynamics - Theory and Applications is ideal for graduate level researchers and practitioners working in the development of codes for simulating physical problems.

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