Machine Learning (Neural Networks) in Materials Science
28th April @ 5:00 pm - 6:00 pm
If you travel from the UK to France via the channel tunnel, your carriage is riding on rails made of a particular kind of steel that Prof. Bhadeshia invented. He has also developed the world’s first bulk nanostructured steel (metallic structure controlled at nanoscale) in commercial production, and was used to create the strongest armour to date. His main research interest is in phase transformation, both the theory and mathematical modelling. He led a joint EPSRC effort with the National Physical Laboratory to build the Materials Algorithms Project (MAP) which serves as a centre for the “validation” and distribution of algorithms of use in the modelling of materials.
In this talk he will gives us an insight into machine learning, in particular neural networks in dealing with extremely complex problems in materials science.