The Warwick Centre for Predictive Modelling has finally moved to its proper home: The D-Block extension of the Engineering building. Please do come by and have a look around our new digs, they're on the second floor of Engineering, off the corridor connecting towards the science concourse (A block). Just skip up the stairs (accessible entrance available), enter through the door and turn to your left.

The WCPM seminar will soon start its summer break, but it will definitely be back in October – in our own seminar room in the Engineering extension. This will give us a litte more flexibility and we would greatly appreciate your input on how to improve our seminar. The most interesting question would be the time clashes with other regular events. We've created a little anonymous survey [EDIT: Survey is closed, see new post], and we would be very grateful if you could spend a couple of minutes to fill it out or send us an e-mail at wcpm dot contact at warwick dot ac dot uk.

The multiscale/multiphysics nature of materials gives rise to extremely challenging and unique mathematical and algorithmic problems currently prohibiting uncertainty quantification and predictive materials modelling. For example, information loss during coarse graining; high-dimensionality and scalability of stochastic multiscale simulations and UQ; learning in models with a high dimensional parameter space; rare events; transferability of potentials in electronic structure, atomistic and molecular simulations. Materials of interest include, but are not limited to, metallic alloys, ceramics, polymers and composites, semiconductors, biological and geological media and meta-materials. The ability to predict the properties of these materials with confidence is paramount to a number of sectors. Currently there is a huge gap between state-of-the-art mathematical methods and the analysis tools routinely used by the materials community.

This activity is a partnership of the Warwick Centre for Predictive Modelling, the Isaac Newton Institute for Mathematical Sciences (INI), the Turing Gateway to Mathematics and the Knowledge Transfer Network.

The academic organisers include Prof. Nicholas Zabaras (University of Warwick) and Markos Katsoulakis (University of Massachusetts at Amherst). For further details please contact Jane Leeks at the TGM.