Nuclear Modelling 2022: 5th Annual Modelling in Nuclear Science and Engineering Seminar 2022

The Nuclear Institute is delighted to again offer this annual event for those working in nuclear science and modelling. Continuing from our previous very successful online event we look forward to welcoming nuclear academics, scientists, engineers and other practitioners to this popular seminar. Having extended the event over two days we also want to extend your learning and networking through an optional dinner on the Thursday evening.

Content

Venue

Room G41, Department of Earth Science and Engineering, Royal School of Mines, Imperial College London, Prince Consort Road, South Kensington, SW7 2BP

Getting here: The nearest tube station is South Kensington. Exit the station and follow signs for Exhibition Road where the Natural History and Science Museums are located. About 500m up Exhibition Road you will see Imperial College on your left. Pass the main entrance building (with large glass front) and Prince consort is the next road on your left. The building on the corner is the Royal School of mines, the entrance is 30m along Prince Consort Road.

Please note that the Piccadilly line is closed at South Kensington. Next nearest stop is Gloucester Road Station

From Gloucester Road Station:

Head left from station exit. At cross-roads, cross over Cromwell Road and head up Gloucester Road for about 400m. Turn right on to Queen's Gate Terrace, and follow to the end of the road (200m).  At the end, turn left onto Queen's Gate, and then take the first right on to Prince Consort Road. Head toward the end of Prince Consort Road, the last building on the right is the Royal School of Mines where you will find the main entrance.

Speakers

Over 30 speakers including:

Prof Omar Matar FREng - Head of Department of Chemical Engineering, Imperial College	Dr Tatiana Ivanova - Head of Division of Nuclear Science, OECD Nuclear Energy Agency	Prof Eugene Shwageraus - Professor of Nuclear Energy Systems Engineering, University of Cambridge	Dr Rossella Arcucci - Lecturer in Data Science and Machine Learning, Imperial College

Dr Paul Nevitt - Science and Technology Director, NNL

Themes for the seminar include:

• Modelling development in accident and risk analysis
• Reactor thermal hydraulics, fuel performance, neutronics, instabilities, criticality, shielding and cooling chemistry
• Digital reactor/digital twins, applications of machine learning to plant performance
• Recent developments supporting ANTs, AMRs, SMRs and advances in materials modelling
• Development in uncertainty quantification and sensitivity analysis
• Modelling techniques to optimise and support design and process developments
• Plant extension and end of life studies
• Modelling Covid
• Fuel cycle facilities, decommissioning activities, waste management
• Multi-physics and multi-scale modelling framework
• Validation and verification.

Organising Committee

• Prof Ali Tehrani FNucI, Office for Nuclear Regulation
• Prof Christopher Pain, Imperial College London
• Prof Paul Smith, Jacobs
• Dr Andrew Buchan, Queen Mary University London
• Prof Panagiota Angeli, University College London
• Dr Amir Nourian, University of Salford
• Glyn Rossiter, National Nuclear Laboratory
• Dr Simon Middleburgh, Bangor University

Sponsorship

Sponsors and Supporters

For organisations interested in any form of support or sponsorship of the above event please contact s.beacock@nuclearinst.com. 

Instructions to speakers

Abstract template

Please convert your abstract to this format and re-submit to s.beacock@nuclearinst.com. 

Tickets

Students wishing to book a place please contact : events@nuclearinst.com