Modelling of Heterogeneous Systems Study Group with Industry

Researchers and companies are invited to join the three day Mathematical Science Virtual Study Group to discuss any challenges from industry, with a particular focus on modelling of Heterogeneous Systems.

Event Details

16/12/2020 - 18/12/2020

09.30 - 17.30



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Mathematical Science Study Groups with industry have been running for over fifty years and, having started with pioneering work in the UK in the 1960s, these groups now take place all over the world in a huge variety of shapes and sizes. Due to the pandemic, the Study Group format has migrated into a virtual form and have been hugely successful in solving problems and providing insight for various organisations including FareShare, the Department of Health and Social Care, and others.

The general format for these workshops is that representatives from industry will present their problems on the morning of the first day. The multidisciplinary research audience question the industrial representatives and decide which challenge they could offer input into. The group breaks into teams (with a nominated academic leader to facilitate the work) and over the next three days code, model, sketch solutions to the problem in an open collaboration. The group meets again at the end of the three days where the teams feedback the progress made.

Building on successful sessions in 2017 and 2018 the newly established HetSys CDT and KTN a re holding a three day, free virtual session between the 16th and 18th of December. We are open to discuss any challenges from industry, particularly in areas of HetSys capability such as:

  • Catalysis across scales
  • High-performance alloys
  • Heterogeneous modelling for future medicines

Some of the previous topics we have studied are list below:

  • Understanding Metal Spray Deposition Variation for GKN
  • Probabilistics Frameworks for Nuclear Integrity Assessments for Rolls-Royce
  • Computational Frameworks to Address Materials Ageing Behaviour for AWE
  • Improved Drug Discovery Through Better Machine Learning Models for AstraZeneca

Problems will be announced in the coming weeks. Updates will be made to the page here as and when problems are finalised:

There are two ways to be involved in this group

  • Researchers: please complete the registration form below. Please note, we are only accepting researchers from UK universities for this Study Group.
  • Companies: if you are a UK business and wish to pose a problem, please contact with a short description of the challenge area.

To view the provisional agenda, please click here. The study group will run from 9.30am to 5.30pm each day from 16th-18th December inclusive.


James Kermode – University of Warwick

Matt Butchers – Knowledge Transfer Network


HetSys is a new EPSRC-supported Centre for Doctoral Training. It recruits enthusiastic students (second intake October 2020) from across the physical sciences who enjoy using their mathematical skills and thinking flexibly to solve complex problems. By developing these skills HetSys trains people to challenge current state-of-the-art in computational modelling of heterogeneous, ‘real world’ systems across a range of research themes such as nanoscale devices, new catalysts, superalloys, smart fluids, laser-plasma interactions etc.


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