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Vorlesungsverzeichnis >> Technische Fakultät (TF) >>
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Numerische Methoden in den Werkstoffwissenschaften (NumWW)- Dozentinnen/Dozenten
- Prof. Dr.-Ing. Erik Bitzek, Dr.-Ing. Aruna Prakash
- Angaben
- Vorlesung mit Übung
2 SWS, ECTS-Studium, ECTS-Credits: 3
nur Fachstudium, Sprache Deutsch
Zeit und Ort: Mi 10:15 - 11:45, CIP Pool WW
- Studienfächer / Studienrichtungen
- WPF MWT-MA-AWE 1
PF MAP-S-CMP 2
- Voraussetzungen / Organisatorisches
- This lecture will be taught in English.
Prerequisites:
(available at the Geschäftsstelle WW)
- Inhalt
- The aim of this course is to provide the students with a “computational toolbox” for the most common tasks in Materials Science research projects. This includes numerical methods for data analysis and visualization as well as modeling and simulation. There, the focus lies on simulation methods at the atomic and mesoscopic scale, including Molecular Dynamics and Statics, Monte Carlo Simulations and Dislocation Dynamics Simulations. After an introduction to the theoretical background of the methods we will directly apply our knowledge to solve example problems on the computer.
- Empfohlene Literatur
- • Dierk Raabe „Computational Materials Science“, Viley VCH, Weinheim, 1998 (T/00 /mat 15.2-115)
• M. Austin, D. Chancogne "Engineering programming C, Matlab, Java", John Wiley & Sons Inc., (T00/mat 17.1-262b)
• W.H. Press et al. “Numerical Recipies”, Cambridge,Univ. Press, 2007 (T80/1 W 21(3))
- ECTS-Informationen:
- Credits: 3
- Contents
- The lecture gives a short introduction into Linux, C and Matlab, to provide the necessary basics for the practical exercises. After that the fundamentals of different simulation methods as molecular dynamics, dislocation dynamics, and finite element methods are discussed theoretically; and for each method several examples will be conducted on the computer. Special attention is laid on the process of modeling, i.e. the reduction of the materials science problem into a core that can be tackled with the numerical methods. The data resulting from these practical exercises will be used to demonstrate the concepts of statistical data analysis and visualization methods.
- Literature
- Dierk Raabe „Computational Materials Science“, Viley VCH, Weinheim, 1998 (T/00 /mat 15.2-115)
M. Austin, D. Chancogne "Engineering programming C, Matlab, Java", John Wiley & Sons Inc., (T00/mat 17.1-262b)
- Zusätzliche Informationen
- Erwartete Teilnehmerzahl: 10
- Institution: Lehrstuhl für Werkstoffwissenschaften (Allgemeine Werkstoffeigenschaften)
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