Predictive Modelling for Nuclear Engineering
Lead Research Organisation:
Queen Mary University of London
Department Name: School of Engineering & Materials Scienc
Abstract
Computer models have played a central role in assessing the behaviour of nuclear power facilities for decades, they have ensured nuclear operations remain safe to both the public and the environment. The aim of the project is to develop a new and highly advanced modelling capability that is accurate, robust and validated. A new multi-physics, predictive modelling framework will be formed for simulating neutron transport, fluid flows and structural interaction problems. It aims to combine novel and world leading technologies in numerical methods and high performance computing to form a simulation tool for geometrically complex, nuclear engineering problems. This will surpass current computational capabilities, by providing modelling accuracy through the use of efficient adaptive resolution, and will tackle grand challenge problems such as full core reactor modelling. This model will be developed within a predictive framework that combines modelling with uncertainty and experimental data. This is a vital component as inherent uncertainties in data, geometry, parameterisations and measurement will place uncertainties in the modelled predictions. By integrating these uncertainties within the calculations we can quantify the uncertainty they place on the final result.
The combination of all these technologies will result in the first modelling framework of its kind, offering unprecedented detail through optimised resolution with combined uncertainty quantification and data assimilation. It will provide substantially improved analysis of nuclear facilities, improve operational efficiency and, ultimately, help ensure its safety. The project will work closely with world leading academics and industry, both within the UK and overseas. This collaboration will result in the technologies being used to analyse future reactor designs, including those reactors due to be built in the UK over the coming years.
The combination of all these technologies will result in the first modelling framework of its kind, offering unprecedented detail through optimised resolution with combined uncertainty quantification and data assimilation. It will provide substantially improved analysis of nuclear facilities, improve operational efficiency and, ultimately, help ensure its safety. The project will work closely with world leading academics and industry, both within the UK and overseas. This collaboration will result in the technologies being used to analyse future reactor designs, including those reactors due to be built in the UK over the coming years.
Planned Impact
This work will benefit those scientists, government bodies and industries concerned with nuclear power safety, reactor design, fuel processing, and waste treatment and decommissioning. It will also be of interest to those involved in multi-phase flows, structural models, damage models, geological safety of waste repositories and state-of-the-art computational modelling.
Specific organisations that will benefit from this capability include AWE, Amec, MOD (HMS Sultan), and Hitachi-GE (who are likely to build the new reactors within the UK). Through Amec's vast customer base it will also impact others including NDA, HSE, Rolls-Royce and EDF (who are currently running the UK's nuclear reactors).
The areas that will be positively impacted include: nuclear safety, core design analysis, training and decommissioning. These kinds of research outputs are critically important in view of the central role that nuclear power is expected to play over the coming decades. New reactors, and those undergoing life extensions, must meet ever more stringent economic and safety criteria. Assessing their ability to meet these demands is increasingly reliant on these types of advanced computer modelling methods. Designers, assessors, regulators and operators of nuclear plants will benefit through better analysis tools, that have been properly validated. This is essential to realize the continuing benefits of nuclear new builds. This independent research tool will help inform decision makers and improve the public's perception and confidence in the UK's commitment to the safe and reliable delivery of nuclear technology. It will aid in demonstrating that nuclear is a clean and low carbon energy source that presents minimal hazards to both the public and the environment.
This project will contribute to the UK's economy by directly supporting its nuclear industry and contributing towards its energy security. The project also has an important economic impact as it will help combat the introduction of commercial software from abroad. At present this is eroding UK software sales and damaging the prospects for growing UK licence sales during the forthcoming era of new build. In addition, this project is designed to involve major industries and academics overseas. Through these, inroads can be made into their main energy companies (in the US and Japan) and thus increase the project's economic impact on a global scale. This will improve the UK's competiveness and revenue flow through increased licence sales abroad.
This project complements the UK's strategic efforts to increase the pool of trained personnel who will oversee the safe delivery of nuclear power over the coming decades. It will work directly with programmes such as the EPSRC funded CDT in nuclear engineering, led by Imperial College, to help train the UK's next generation of nuclear scientists and engineers.
Specific organisations that will benefit from this capability include AWE, Amec, MOD (HMS Sultan), and Hitachi-GE (who are likely to build the new reactors within the UK). Through Amec's vast customer base it will also impact others including NDA, HSE, Rolls-Royce and EDF (who are currently running the UK's nuclear reactors).
The areas that will be positively impacted include: nuclear safety, core design analysis, training and decommissioning. These kinds of research outputs are critically important in view of the central role that nuclear power is expected to play over the coming decades. New reactors, and those undergoing life extensions, must meet ever more stringent economic and safety criteria. Assessing their ability to meet these demands is increasingly reliant on these types of advanced computer modelling methods. Designers, assessors, regulators and operators of nuclear plants will benefit through better analysis tools, that have been properly validated. This is essential to realize the continuing benefits of nuclear new builds. This independent research tool will help inform decision makers and improve the public's perception and confidence in the UK's commitment to the safe and reliable delivery of nuclear technology. It will aid in demonstrating that nuclear is a clean and low carbon energy source that presents minimal hazards to both the public and the environment.
This project will contribute to the UK's economy by directly supporting its nuclear industry and contributing towards its energy security. The project also has an important economic impact as it will help combat the introduction of commercial software from abroad. At present this is eroding UK software sales and damaging the prospects for growing UK licence sales during the forthcoming era of new build. In addition, this project is designed to involve major industries and academics overseas. Through these, inroads can be made into their main energy companies (in the US and Japan) and thus increase the project's economic impact on a global scale. This will improve the UK's competiveness and revenue flow through increased licence sales abroad.
This project complements the UK's strategic efforts to increase the pool of trained personnel who will oversee the safe delivery of nuclear power over the coming decades. It will work directly with programmes such as the EPSRC funded CDT in nuclear engineering, led by Imperial College, to help train the UK's next generation of nuclear scientists and engineers.
Organisations
- Queen Mary University of London (Lead Research Organisation)
- HMS Sultan (Collaboration, Project Partner)
- EDF Energy (Collaboration)
- AMEC (Collaboration, Project Partner)
- UNIVERSITY OF MANCHESTER (Collaboration)
- UNIVERSITY OF CAMBRIDGE (Collaboration)
- Organisation for Economic Co-operation and Development OECD (Collaboration)
- UNIVERSITY OF OXFORD (Collaboration)
- Frazer-Nash Consultancy (Collaboration)
- Nuclear Energy Agency (Collaboration)
- UNIVERSITY OF LEEDS (Collaboration)
- Columbia University (Collaboration)
- UNIVERSITY OF SHEFFIELD (Collaboration)
- Hitachi Ltd (Project Partner)
- University of South Carolina (Project Partner)
- AWE plc (Project Partner)
- Florida State University (Project Partner)
People |
ORCID iD |
Andrew Buchan (Principal Investigator / Fellow) |
Publications

Adigun B
(2018)
A Haar wavelet method for angularly discretising the Boltzmann transport equation
in Progress in Nuclear Energy

Buchan A
(2019)
A combined immersed body and adaptive mesh method for simulating neutron transport within complex structures
in Annals of Nuclear Energy

Buchan A
(2020)
Predicting airborne coronavirus inactivation by far-UVC in populated rooms using a high-fidelity coupled radiation-CFD model
in Scientific Reports


Buchan A
(2024)
A reduced order model discretisation of the space-angle phase-space dimensions of the Boltzmann transport equation with application to nuclear reactor problems
in Journal of Computational Physics

Buchan AG
(2021)
Improved estimates of 222 nm far-UVC susceptibility for aerosolized human coronavirus via a validated high-fidelity coupled radiation-CFD code.
in Scientific reports


Dargaville S
(2019)
Angular adaptivity with spherical harmonics for Boltzmann transport
in Journal of Computational Physics

Dargaville S
(2017)
Adaptive angle and parallel multigrid for deterministic shielding problems
in EPJ Web of Conferences

Dargaville S
(2020)
Scalable angular adaptivity for Boltzmann transport
in Journal of Computational Physics
Related Projects
Project Reference | Relationship | Related To | Start | End | Award Value |
---|---|---|---|---|---|
EP/M022684/1 | 01/01/2016 | 17/06/2017 | £662,151 | ||
EP/M022684/2 | Transfer | EP/M022684/1 | 18/06/2017 | 18/12/2022 | £464,161 |
Description | The objective of the project was to design new software tools for simulating the operations of nuclear reactor cores by modelling the underlying multi-physics processes of neutron transport and thermal hydraulics. The methods that were proposed now been developed, focusing on adaptive resolution for accurate predictions of the physics and adjoint based methods for the efficient estimation of reactor sensitivities due to uncertainties in measured data. A key finding was that the two methods could be simultaneously combined whereby adaptive resolution could be used to provide accurate and efficient estimates of (adjoint based) sensitivities of the radiation field for reactors and shielding type problems. The research has resulted in two new frameworks, FETCH and WYVERN, which, over the course of the project, include additional research tools based on reduced order models for the fast and accurate predictions of the physics. These frameworks have both been applied to reactor physics problems for the study or reactivity of pressurised water reactor cores and transient analysis including thermal feedback effects. A key finding was that the methods could be used for the very fast prediction of cores during transients, but they retain the accuracy high fidelity modelling. This has the potential to replace current approaches, such as point kinetics, which lose the detailed physics in order to maintain fast computing speeds. This work has now opened up a new direction of research that integrates these models, and adjoint based methods, with Artificial Intelligence software tools. A plan is now in place that uses all these technologies for a digital twin of a nuclear reactor cores that can combine live operational data with modelling to provide best estimate predictions of reactors when in operation. The project's research has resulted in new collaborations with the main nuclear industry and academia within the UK and overseas, and has led to contributions to the OECD-Nuclear Energy Agency working groups on designing next generation benchmark experiments for validating future multi-physics reactor-physics codes. The project's research has expanded into other fields and established new collaborations beyond nuclear. A particularly good example is the project's work with academics at the Centre for Radiological Research, Columbia University - US, where these models have been used to provide improved estimates airborne virus susceptibility to 222nm ultraviolet-C light. A key finding was that we showed 222nm UVC light is more effective than initially thought at killing airborne virus (including coronavirus), thus helping to establish this technology as a disinfection mechanism for the near future. |
Exploitation Route | I am hoping for the eventual adoption of the technology to be used by industry and by academics both in nuclear beyond. Some of the code framework will be made freely available to non-nuclear people for analysis of their applications. Examples include UVC analysis for air disinfection. |
Sectors | Energy Environment |
Description | Some elements of the research is now beginning to have impact beyond academia and potentially could be used by the wider nuclear industry. In particular the reduced order models that have been developed here are attracting attention since they provide fast and accurate solutions to complex neutron transport problems, reducing solver times by up to 5 orders of magnitude in comparison to standard models. Thus they can be used effectively for scoping calculations in design optimisation calculations. Whilst at a very early stage, thus details will be updated in future, 2 NDAs have been signed (late 2023 and early 2024) with new and established nuclear industries with the aim to investigate the use of the models for their respective reactor analysis. Furthermore, the off-shoot research into using the Wyvern model for UVC-air disinfection is now being further developed by University of Columbia for general room analysis, and their aim is to use the model in collaboration with their own industrial partners based in the US. Again this is at very early stages (late 2023) and so more details will be provide in future. |
First Year Of Impact | 2023 |
Sector | Energy,Healthcare |
Impact Types | Societal Economic |
Description | Collaboration with Center for Radiological Research, Columbia University |
Organisation | Columbia University |
Country | United States |
Sector | Academic/University |
PI Contribution | Using the coupled radiation-fluids models we were able to assist the Columbia University's "Center for Radiological Research" with their experiments for 222nm-UVC inactivation of airborne virus. Specifically this project used the model to accurately resolve the radiation field and flow of virus in their experiments to refine estimates of dose rates. By combining experiment and modelling we could improve estimates of virus susceptibility using 222-nm UVC for air disinfection. Since late 2023 the team at Columbia University have since adopted the Wyvern Model for use in their own analysis for UVC-air disinfection. |
Collaborator Contribution | Columbia University's "Center for Radiological Research" performed the experimentation, provided data of virus inactivation, and helped with development of resulting publications. Partners are now developing the set up tools for the easy use of the model for general UVC-air disinfection for general rooms. |
Impact | 3 publications in the area of UVC virus inactivation in air. |
Start Year | 2021 |
Description | Member of the OECD Nuclear Energy Agency "Expert Group on Multi-physics Experimental Data, Benchmarks and Validation (EGMPEBV)" |
Organisation | Organisation for Economic Co-operation and Development OECD |
Country | France |
Sector | Public |
PI Contribution | I attend the bi-annual meeting in Paris for this working group. We are developing a series of documents/publications to be published by the OECD Nuclear Energy Agency that collates past and current benchmarking experimental data and will guide the next generation of experiments for benchmarking the future nuclear engineering codes. So far I have helped develop the first publication that has been submitted to the OECD-NEA for review. |
Collaborator Contribution | Partners include OECD-NEA members and various government bodies, national labs and industries from Russia, USA and Europe. Each has contributed to where their expertise lies, ranging from past/current/future codes and methodologies, to experimental data and experiments. |
Impact | One publication resulting from this so far - currently under review. Petruzzi A, Avramova M, Baiocco G, Buchan AG, Cherubini M, Hudelot JP, Ivanov K, Lindley B, Traditional MP and M&S tools and Uncertainty Treatment, Under review at the OECD-Nuclear Energy Agency, 2016 |
Start Year | 2015 |
Description | SIG: Nuclear thermal hydraulics - advanced modelling, simulation and experimentation |
Organisation | AMEC |
Country | United Kingdom |
Sector | Private |
PI Contribution | Newly formed SIG on nuclearthermal hydraulics, only just formed and currently organising first meeting. |
Collaborator Contribution | Newly formed SIG on nucler thermal hydraulics, only just formed and currently organising first meeting. |
Impact | Just formed so no outputs yet. |
Start Year | 2017 |
Description | SIG: Nuclear thermal hydraulics - advanced modelling, simulation and experimentation |
Organisation | EDF Energy |
Country | United Kingdom |
Sector | Private |
PI Contribution | Newly formed SIG on nuclearthermal hydraulics, only just formed and currently organising first meeting. |
Collaborator Contribution | Newly formed SIG on nucler thermal hydraulics, only just formed and currently organising first meeting. |
Impact | Just formed so no outputs yet. |
Start Year | 2017 |
Description | SIG: Nuclear thermal hydraulics - advanced modelling, simulation and experimentation |
Organisation | Frazer-Nash Consultancy |
Country | United Kingdom |
Sector | Private |
PI Contribution | Newly formed SIG on nuclearthermal hydraulics, only just formed and currently organising first meeting. |
Collaborator Contribution | Newly formed SIG on nucler thermal hydraulics, only just formed and currently organising first meeting. |
Impact | Just formed so no outputs yet. |
Start Year | 2017 |
Description | SIG: Nuclear thermal hydraulics - advanced modelling, simulation and experimentation |
Organisation | HMS Sultan |
Country | United Kingdom |
Sector | Public |
PI Contribution | Newly formed SIG on nuclearthermal hydraulics, only just formed and currently organising first meeting. |
Collaborator Contribution | Newly formed SIG on nucler thermal hydraulics, only just formed and currently organising first meeting. |
Impact | Just formed so no outputs yet. |
Start Year | 2017 |
Description | SIG: Nuclear thermal hydraulics - advanced modelling, simulation and experimentation |
Organisation | University of Cambridge |
Country | United Kingdom |
Sector | Academic/University |
PI Contribution | Newly formed SIG on nuclearthermal hydraulics, only just formed and currently organising first meeting. |
Collaborator Contribution | Newly formed SIG on nucler thermal hydraulics, only just formed and currently organising first meeting. |
Impact | Just formed so no outputs yet. |
Start Year | 2017 |
Description | SIG: Nuclear thermal hydraulics - advanced modelling, simulation and experimentation |
Organisation | University of Leeds |
Country | United Kingdom |
Sector | Academic/University |
PI Contribution | Newly formed SIG on nuclearthermal hydraulics, only just formed and currently organising first meeting. |
Collaborator Contribution | Newly formed SIG on nucler thermal hydraulics, only just formed and currently organising first meeting. |
Impact | Just formed so no outputs yet. |
Start Year | 2017 |
Description | SIG: Nuclear thermal hydraulics - advanced modelling, simulation and experimentation |
Organisation | University of Manchester |
Country | United Kingdom |
Sector | Academic/University |
PI Contribution | Newly formed SIG on nuclearthermal hydraulics, only just formed and currently organising first meeting. |
Collaborator Contribution | Newly formed SIG on nucler thermal hydraulics, only just formed and currently organising first meeting. |
Impact | Just formed so no outputs yet. |
Start Year | 2017 |
Description | SIG: Nuclear thermal hydraulics - advanced modelling, simulation and experimentation |
Organisation | University of Oxford |
Country | United Kingdom |
Sector | Academic/University |
PI Contribution | Newly formed SIG on nuclearthermal hydraulics, only just formed and currently organising first meeting. |
Collaborator Contribution | Newly formed SIG on nucler thermal hydraulics, only just formed and currently organising first meeting. |
Impact | Just formed so no outputs yet. |
Start Year | 2017 |
Description | SIG: Nuclear thermal hydraulics - advanced modelling, simulation and experimentation |
Organisation | University of Sheffield |
Country | United Kingdom |
Sector | Academic/University |
PI Contribution | Newly formed SIG on nuclearthermal hydraulics, only just formed and currently organising first meeting. |
Collaborator Contribution | Newly formed SIG on nucler thermal hydraulics, only just formed and currently organising first meeting. |
Impact | Just formed so no outputs yet. |
Start Year | 2017 |
Description | member of OECD NEA NSC/WPRS/EGMUP Task Force on AI and Machine Learning |
Organisation | Nuclear Energy Agency |
Country | France |
Sector | Public |
PI Contribution | I have been invited to participate in the newly formed NEA working group to begin the formation of benchmarks for machine learning methods in the nuclear industry. So far initial meetings have been set up, and will continue over the coming years. |
Collaborator Contribution | We are in the early stages of this working group and the forming the working groups for areas of benchmarking has taken place. |
Impact | Output will only come out in future due to my recent participation to this. |
Start Year | 2023 |
Description | ASTRID seminar 2017 |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Industry/Business |
Results and Impact | Presentation of the modelling capabilities developed under the fellowship program to the ASTRID community. This involved audience from academia, UK nuclear industry and EU nuclear industry. |
Year(s) Of Engagement Activity | 2017 |
Description | Co-organsised mini-symposium on multi-physics modelling for the ECOMAS 2022 conference |
Form Of Engagement Activity | Participation in an activity, workshop or similar |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Other audiences |
Results and Impact | ran mini-symposium for the ECOMAS 2022, bringing together people across industry and academia to present work on multi-physics modelling across general engineering applications. |
Year(s) Of Engagement Activity | 2022 |
URL | https://www.eccomas.org/2021/01/22/3542/ |
Description | External Examiner for MSc in Nuclear Engineering |
Form Of Engagement Activity | A formal working group, expert panel or dialogue |
Part Of Official Scheme? | No |
Geographic Reach | National |
Primary Audience | Postgraduate students |
Results and Impact | Invited to be external examiner for the MSC in nuclear engineering run by HMS Sultan. |
Year(s) Of Engagement Activity | 2018,2019 |
Description | Invited speaker for seminar to University of Tokyo, nuclear engineering department |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Industry/Business |
Results and Impact | 1 hour presentation at University of Tokyo detailing the research outputs of the grant, including academics, students and members of the Japanese Atomic Energy Authority |
Year(s) Of Engagement Activity | 2024 |
Description | Management Committee for the UK's NUclear INstitue Conference |
Form Of Engagement Activity | Participation in an activity, workshop or similar |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Industry/Business |
Results and Impact | I was member of the management committee for organising the UK's conference on nuclear systems modelling, bringing together all the main member of the UK universities and industry, and some from abroad. For this event I also chaired one session and presented in another. The audience included academics, personelle from national labs and industry. There was around 70 attendees. |
Year(s) Of Engagement Activity | 2020 |
URL | https://www.nuclearinst.com/Events-list/Nuclear-Modelling-Conference-2020/72300 |
Description | Organising committee for: Nuclear Modelling 2022: 5th Annual Modelling in Nuclear Science and Engineering Seminar 2022 |
Form Of Engagement Activity | Participation in an activity, workshop or similar |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Industry/Business |
Results and Impact | Organising committee member of the Nuclear Institute 5th Annual Modelling in Nuclear Science and Engineering Seminar 2022. bringing UK and EU academicss. industry, regulators together for talks on the laterst developments in computational nuclear engineering science |
Year(s) Of Engagement Activity | 2022 |
URL | https://www.nuclearinst.com/Events-list/5th-Annual-Modelling-in-Nuclear-Science-and-Engineering-Semi... |
Description | Presentation at the ANSWERS seminar 2019 |
Form Of Engagement Activity | Participation in an activity, workshop or similar |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Industry/Business |
Results and Impact | presentation of research at the ANSWERS seminar detailing some of my recent works. This is different to academic conferences as audience consists of main industry bodies within the UK, and more overseas. My presentation won prize for best presentation for the reactor physics day. |
Year(s) Of Engagement Activity | 2019 |
URL | https://www.answerssoftwareservice.com/seminar.html |
Description | co orgainser of the PHYSOR conference |
Form Of Engagement Activity | Participation in an activity, workshop or similar |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Professional Practitioners |
Results and Impact | Although cancelled due to the events of coronvirus, i had been involved with the management and organisation, and was due to be chair of a session, in the PHYSOR conference. Although the event was cancelled a special series of the publications were released. |
Year(s) Of Engagement Activity | 2020 |
URL | https://www.physor2020.com/ |
Description | co-author invited speaker |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Industry/Business |
Results and Impact | Invited speaker at the conference "Radiation Research Society", details listed below. Radiation Research Society's 67th Annual Meeting October 3-6, 2021 Symposium 17 Applications of UV for disease control "High-fidelity coupled radiation-ventilation models predict far-UVC inactivation of airborne pathogens with sufficient accuracy for reliable assessment of infection risks" |
Year(s) Of Engagement Activity | 2021 |
URL | https://na.eventscloud.com/website/23992/program/ |
Description | co-author invited speaker for ICCCI2022 |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Industry/Business |
Results and Impact | co-author for invited talk on radiation-fluids coupling modelling for industrial applications at the ICCCI conference. |
Year(s) Of Engagement Activity | 2022 |
URL | http://ceramics.ynu.ac.jp/iccci2022/index.html |
Description | interview with WIRED regarding my research in UVC modeling of coronavirus inactivation |
Form Of Engagement Activity | A press release, press conference or response to a media enquiry/interview |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Public/other audiences |
Results and Impact | I was invited to be interviewed for the WIRED online tech-magazine regarding my research into far-UVC and its potential use in air disinfection of coronavirus. Far-UVC is a new approach in UVC air disinfection and potential game changer in fighting all airborne diseases. I have alorady been contacted by a company that has read this article and we are currently setting up an MSc project to model their application with the hope it will build into something more substantial in the future. |
Year(s) Of Engagement Activity | 2021 |
URL | https://www.wired.co.uk/article/does-uv-tech-actually-work |
Description | invited speaker at Answers Seminar |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | National |
Primary Audience | Industry/Business |
Results and Impact | invited speaker to the Answers seminar which is the main industry based computational nuclear engineering seminar |
Year(s) Of Engagement Activity | 2022 |
URL | https://answerssoftwareservice.com/seminar.html |
Description | participation in workshop for UK-Japan nuclear collaborations |
Form Of Engagement Activity | A formal working group, expert panel or dialogue |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Industry/Business |
Results and Impact | This workshop aimed to bring together academics and industry from the UK and Japan in the nuclear sector, to discuss and promote research ideas for nuclear. This was part of the JUNO network held in Manchester 2019. |
Year(s) Of Engagement Activity | 2019 |
URL | https://gtr.ukri.org/projects?ref=EP%2FP013600%2F1 |
Description | participation in workshop on application of Boltzmann Transport Models |
Form Of Engagement Activity | A formal working group, expert panel or dialogue |
Part Of Official Scheme? | No |
Geographic Reach | National |
Primary Audience | Professional Practitioners |
Results and Impact | This workshop brought together most of the UK's research groups that use Boltzmann transport models for a range of applications. There we around 50 participants and the aim was to present and discuss the methods the academics have used to solve their form of the equations, in order to cross-fertilize methods and promote collaborations. |
Year(s) Of Engagement Activity | 2019 |
Description | presetation to the UK nuclear academic community |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | National |
Primary Audience | Professional Practitioners |
Results and Impact | Presentation to the UK's nuclear academics detailing my research in nuclear system modelling. Held in Liverpool, September 2018. |
Year(s) Of Engagement Activity | 2018 |
URL | https://www.liverpool.ac.uk/engineering/events/nuclear-academics-meeting-2018/ |