Atomistic modeling-based design of novel materials

Review (2017)
Author(s)

David Holec (Montanuniversität Leoben)

Liangcai Zhou (Technische Universität Wien)

Helmut Riedl (Technische Universität Wien)

Christian M. Koller (Technische Universität Wien)

Paul H. Mayrhofer (Technische Universität Wien)

Martin Friák (Czech Academy of Sciences and Arts, Masaryk University)

Mojmír Šob (Masaryk University, Czech Academy of Sciences and Arts)

Fritz Körmann (TU Delft - (OLD) MSE-7, Max-Planck-Institut für Eisenforschung)

Jörg Neugebauer (Max-Planck-Institut für Eisenforschung)

Denis Music (RWTH Aachen University)

Markus A. Hartmann (University of Vienna)

Franz D. Fischer (Montanuniversität Leoben)

Research Group
(OLD) MSE-7
DOI related publication
https://doi.org/10.1002/adem.201600688 Final published version
More Info
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Publication Year
2017
Language
English
Research Group
(OLD) MSE-7
Issue number
4
Volume number
19
Article number
1600688
Downloads counter
282

Abstract

Modern materials science increasingly advances via a knowledge-based development rather than a trial-and-error procedure. Gathering large amounts of data and getting deep understanding of non-trivial relationships between synthesis of materials, their structure and properties is experimentally a tedious work. Here, theoretical modeling plays a vital role. In this review paper we briefly introduce modeling approaches employed in materials science, their principles and fields of application. We then focus on atomistic modeling methods, mostly quantum mechanical ones but also Monte Carlo and classical molecular dynamics, to demonstrate their practical use on selected examples.