1. The Nuts and Bolts of First-Principles Simulation Durham, 6th-13th December 2001 1: Computational Materials Science: an Overview CASTEP Developers’ Group with support from the ESF  k Network

2. Nuts and Bolts 2001 Lecture 1: Computational Materials Science 2 Outline  What would we like to achieve?  Lengthscales and timescales  Techniques  Dislocations  Aim of first principles calculations  The density functional theory plane wave pseudopotential approach  Surface diffusion on aluminium  Zeolite acid catalysts

3. Nuts and Bolts 2001 Lecture 1: Computational Materials Science 3 What would we like to achieve?  Computers get cheaper and more powerful every year.  Experiments tend to get more expensive each year.  IF computer simulation offers acceptable accuracy then at some point it should become cheaper than experiment.  This has already occurred in many branches of science and engineering.  Is it possible to achieve this for materials modelling? (Physics, chemistry, biology..)

4. Nuts and Bolts 2001 Lecture 1: Computational Materials Science 4 Lengthscales  Materials modelling can describe many things from the atomic scale to entire engineering components.  This covers lengthscales from Ångstroms to many metres - a range of 10 12.  This range of lengthscales encompasses a few atoms to 10 36 atoms!

5. Nuts and Bolts 2001 Lecture 1: Computational Materials Science 5 Timescales  The timescales of interest in materials modelling range from the atomic timescale - of the order of 10 -12 seconds, to the lifetime of a material, for a geological specimen this could be millions of years.  Hence, the range of timescales of interest is 10 25 !

6. Nuts and Bolts 2001 Lecture 1: Computational Materials Science 6 Techniques  Clearly the range of lengthscales and timescales of interest are beyond the capability of a single modelling technique.  Techniques:  Continuum modelling  Structural units (for instance groups of atoms that can be regarded as composite units)  Atomistic approaches: empirical, semi- empirical, first principles techniques: density functional theory, ab initio approaches, quantum Monte Carlo,…...

7. Nuts and Bolts 2001 Lecture 1: Computational Materials Science 7 Dislocations b

8. Nuts and Bolts 2001 Lecture 1: Computational Materials Science 8 Dislocations Elastic energy in long-range strain field. Can be calculated from elastic constants Core energy, depends on atomic positions in highly strained region. Can only be calculated with an atomistic model

9. Nuts and Bolts 2001 Lecture 1: Computational Materials Science 9 Dislocations  The elastic strain energy dominates unless dislocations are very close together.  In metallic systems the core energy does not vary greatly as dislocation moves,.... Can obtain an excellent description of the behaviour of entire material by considering only the elastic energy of the dislocations.  In other systems the core energy does vary significantly as dislocation moves,.... Need to compute this energy in order to model behaviour of entire material.

10. Nuts and Bolts 2001 Lecture 1: Computational Materials Science 10 Aim of first principles calculations Atomic Numbers Solve the quantum mechanical equations for the electrons Predict physical and chemical properties of systems

11. Nuts and Bolts 2001 Lecture 1: Computational Materials Science 11 The density functional theory plane wave pseudopotential approach  Whole periodic table.  Systems containing hundreds of atoms (on large enough computers).  Structural optimisation.  Finite temperature simulations (molecular dynamics) on picosecond timescales.

12. Nuts and Bolts 2001 Lecture 1: Computational Materials Science 12 Diffusion of Al adatom on Al(001) Hop over bridge site Exchange mechanism (Feibelman)

13. Nuts and Bolts 2001 Lecture 1: Computational Materials Science 13 Zeolite acid catalysts