Materials Modelling [University Arms]

General Methodology



Monte Carlo and Molecular Dynamics Methods

Lecture notes and other materials.

Thermodynamics and Phase Diagrams

Mesoscale and Multiscale Modelling

Kinetics & Microstructure Modelling

Finite Element Analysis

Business Skills

Course materials

Information Theory, Pattern Recognition and Neural Networks

This course is merely an introduction to neural network analysis in the Bayesian framework. More can be found in MacKay's article below, which also contains key references. Indeed, the authors owe an especial debt to Dr MacKay for help in compiling this course. Lectures 3 and 4 require familiarity with matrices. The examples classes are extra-curricular.

Process Modelling

Integrated Selection of Materials and Processes

Course materials

Literature Survey



Examination Papers

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