Neural Networks in Materials Science

H. K. D. H. Bhadeshia


There are difficult problems in materials science where the general concepts might be understood but which are not as yet amenable to scientific treatment. We are at the same time told that good engineering has the responsibility to reach objectives in a cost and time--effective way. Any model which deals with only a small part of the required technology is therefore unlikely to be treated with respect. Neural network analysis is a form of regression or classification modelling which can help resolve these difficulties whilst striving for longer term solutions. This paper begins with an introduction to neural networks and contains a review of some applications of the technique in the context of materials science.

Download PDF file of paper: ISIJ International,Vol. 39, 1999, 966-979.

Download PDF file of related paper: Statistical Analysis and Data Mining,Vol. 1, 2009, 296-305.

Performance of Neural Networks in Materials Science: Materials Science and Technology,Vol. 25, 2009, 504-510.

Contents of special issue of ISIJ International,dealing with neural networks in materials science

Slides Video


Research Publications

Creep-Resistant Alloys

Neural Networks in Materials Science

Scaling Laws From Statistical Data and Dimensional Analysis

Introduction to Materials Modelling

The book, edited by Zoe Barber, is based on a one-year, interdisciplinary Masters Coursegiven by the Materials Science and Metallurgy Department of Cambridge University. The course is designed for graduates from the sciences, mathematics, and engineering. It covers techniques spanning a huge range of length scales, from atoms to engineering structures.


  1. General Aspects of Materials Modelling, by P. D. Bristowe and P. J. Hansip
  2. Modelling of Electronic Structure, by A. H. Cottrell
  3. Advanced Atomistic Modelling, by P. J. Hansip
  4. Thermodynamics, by H. K. D. H. Bhadeshia
  5. Kinetics, by H. K. D. H. Bhadeshia and A. L. Greer
  6. Monte Carlo and Molecular Dynamics, by J. A. Elliott
  7. Mesoscale Methods and Multiscale Modelling, by J. A. Elliott
  8. Finite Elements, by S. Tin and H. K. D. H. Bhadeshia
  9. Neural Networks, by T. Sourmail and H. K. D. H. Bhadeshia

Superalloys Titanium Bainite Martensite Widmanstätten ferrite
Cast iron Welding Allotriomorphic ferrite Movies Slides
Neural Networks Creep Mechanicallly Alloyed Theses

PT Group Home