The 8th Modelling in Nuclear Science and Engineering Conference will bring together the modelling community to share best practice in techniques to help improve design and operation of nuclear energy generation, processing and storage facilities including power plants to protect society by improving safety of these facilities.
The goal of scientific modelling as an activity is to make features and performance of the design easier to understand, quantify, visualise, or simulate by adopting rigorous scientific methods. This Conference will provide a platform to highlight exciting new modelling methods and applications. Previous attendees at this conference included a broad range of industry members, leading academics and those at an early career stage.
The Conference includes invited speakers, special technology leaders and presentations from the nuclear industry, national institutions and academia. It is aimed at those working on modelling and simulation, multiphysics, data science and related topics relevant to the nuclear industry, both in industry and academia.
New for 2025: Early career researchers and PhD students are also encouraged to submit to present to connect with the wider modelling community. New for 2025 we will be including a dedicated session for early careers scientists and engineers to present their work to the community.
Previous attendee feedback
"The event was a platform to connect industry and academic modellers in nuclear. Speakers and attendees came from a diverse range of backgrounds, including artificial intelligence, safety, reactor design, fuel performance modelling, multiphysics and multiscale modelling".
"I was absolutely amazed by the variety of work & advancements that have made in the nuclear industry. All speakers were absolutely fantastic. I learnt a lot from what they shared."
The Conference will cover the recent developments and advances in:
- Impact of Modelling in Nuclear Engineering and Science;
- Innovation and Adoption of AI in Modelling, Design and Operation of Nuclear Facilities;
- Multi-physics, Multi-scale Modelling;
- Uncertainty Quantification, Data Assimilation and Digital Twin Production;
- Modelling Codes and Methods in Reactor Safety Performance and Accident Conditions;
- Regulation;
- Integrated Energy Systems;
- Decommissioning, Chemical, Storage, Waste and Fuel Cycle Facilities;
- Use in Space Exploration, Medical Applications and Imaging;
- Reactor Thermal Hydraulics, Fuel Performance, Neutronics, Criticality and Shielding;
- Optimisation for Design Process and Management;
- Experimental Techniques and Data in Supporting Modelling Activities, Verification and Validation.
Submission is now open using our portal here.
Contact events@nuclearinst.com for any queries on your submission.
Abstract submissions close
|
10 September
|
Confirmation of acceptance
|
15 September
|
Full presentation submission
|
22 October
|
Member Type |
Cost (excl VAT) |
Early Bird (12 available) |
£225 |
NI Member |
£275 |
YGN Member |
£220 |
Non-Member |
£375 |
Student Member* |
£100 |
Student Non-Member* |
£120 |
* To be considered for a student place please email your course details to events@nuclearinst.com
Align your organisation with this conference, which has built a reputation within the nuclear modelling community as a key event to share knowledge, connect and meet new collaborators.
With a substantial attendance from academia, including PhD students, this provides opportunities for recruitment of highly-skilled young people who are looking to join the nuclear industry.
Sponsorship Brochure
If you'd like further information on sponsorship, please contact events@nuclearinst.com
- Chair: Prof Ali Tehrani FNucI, Office for Nuclear Regulation
- Prof Christopher Pain, Imperial College London
- Prof Paul Smith, Amentum UK
- Dr Andrew Buchan, Queen Mary University of London
- Prof Panagiota Angeli, University College London
- Dr Amir Nourian, University of Salford
- Dr Tatiana Ivanova - Head of Division of Nuclear Science, OECD Nuclear Energy Agency
- Dr Mark Bankhead, National Nuclear Laboratory
- Dr John Jones, Fairlie Associates