Teaching Materials



H. K. D. H. Bhadeshia

Crystallography


Course on Crystallography

Slides and Videos


Year 2 (Metals & Alloys)

Year 3 (Metals & Alloys)



Year 4 (Materials Modelling)

Master of Philosophy (Materials Modelling)

Reading List

Course MP1: General Methodology

Course MP4: Thermodynamics and Phase Diagrams

Course MP5: Mesoscale and Multiscale Modelling

Course MP6: Kinetics & Microstructure Modelling

Course MP7: Finite Element Analysis

Course MP9: 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.

Course MP10: Process Modelling

Literature Survey

Thesis

Seminars

Examination Papers

Thermal Analysis

Review Articles

General Articles

Books

Available for Free Download

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