Overview
ABSTRACT
Numerical modeling and simulation have become, both at the academic and industrial level, essential in every scientific and technical domain. Initially developed in order to help understand phenomena, these numerical tools have now achieved greater maturity and have progressively become predictive tools. The main simulation techniques from the atomistic to the macroscopic scales are presented and illustrated with application examples.
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Mireille DEFRANCESCHI: Associate Professor of Chemistry - PhD in physical sciences
INTRODUCTION
Numerical modeling and simulation have become indispensable in all areas of science and technology, both at academic and industrial levels. Thanks to constant advances in computing resources, numerical modeling/simulation has become increasingly important in recent years in fields as varied as physics, chemistry and biology, but also for human systems, such as economics and the social sciences. In the particular case of materials science, which will be the focus of this document, new digital tools have been developed to meet the growing needs of research and industry.
These numerical tools, initially developed as an aid to understanding phenomena, have now matured and gradually become predictive tools. Nowadays, numerical modelling and simulation can be used to carry out experiments at lower cost, or even experiments that would otherwise be impossible.
The aim of this document is to describe the main numerical simulation techniques currently used in materials science. The main simulation techniques, from the atomic to the macroscopic scale, are outlined, and each technique is illustrated by application examples. Some of the topics covered, such as multiscale simulation, are still at the development stage but are the subject of ongoing developments.
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KEYWORDS
overview | numerical methods | materials science | solid state chemistry | numerical modelisation | simulation
Numerical modeling and simulation in solid state chemistry: principles and applications
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