What is CCP-NTH?
The Collaborative Computational Project in Nuclear Thermal Hydraulics (CCP-NTH) – supporting next-generation civil nuclear reactors, is one of the UK Collaborative Computational Projects funded by UKRI. The first period is funded by UKRI EPSRC Grant Ref EP/T026685/1 for a five-year project starting from 1st April 2020, and the second period is funded by UKRI DRI for a two year project from November 2024 to Octomber 2026.
The aim of CCP-NTH is to support a community of researchers and engineers to develop and maintain computational methods and software packages to modernise the nuclear thermal hydraulics tools to meet the demands imposed through the development of advanced next-generation nuclear reactor systems to be employed in the coming decades. CCP-NTH aspires to achieve community building with networking and code development with maintenance.
This project is supported by Science and Technology Facilities Council (STFC) via The Computational Science Centre for Research Communities (CoSeC). CoSeC supports the advancement of scientific research by developing and strengthening software to analyse and solve increasingly complex problems in multiple disciplines – physics, chemistry, life sciences, engineering, and more. CoSeC also provides a hub for exchanging knowledge and expertise through training and outreach. Long-term partnerships and collaborations with universities and other research establishments are at the heart of CoSeC.
CCP-NTH Remits
1. Developing computational tools and methods
- Support the development and benchmarking of advanced simulation methods for nuclear thermal hydraulics, including heat transfer, turbulence modelling and multiphase flow.
- Enhance and maintain simulation tools to ensure compatibility with modern heterogeneous computing architectures.
- Explore emerging technologies such as artificial intelligence and machine learning (AI/ML) to support data-driven modelling and simulation workflows
- Advance modelling capabilities to enable safe, efficient, and innovative nuclear technologies.
2. Building a collaborative research community
- Bring together researchers from academia, industry, and government to share methods, tools, data, and expertise in NTH.
- Encourage knowledge exchange, joint projects, and interdisciplinary collaboration.
3. Providing training and support
- Organize workshops, webinars, and/or summer schools to train researchers, especially early-career scientists, in modern NTH modelling tools and best practices.
- Provide access to software, documentation, and case studies
4. Enabling access to high-performance computing (HPC)
- Facilitate the use of UKRI and other national computing resources for NTH research.
- Help users apply computational tools on HPC platforms efficiently.
5. Engaging with industry and policy
- Support the UK nuclear sector by providing validated tools and simulation frameworks.
- Align academic research with industrial and regulatory needs to inform policy and safety standards.
CCP-NTH Research Themes
Theme: High-fidelity & heterogeneous computing
Led by: Wei Wang, Shusheng He
Theme: Robust CFD and system modelling
Led by Shusheng He and Charles Moulinec
Theme: AI & ML in NTH
Led by: Mike Bluck, Wei Wang, Yu Duan
Theme: Experiments and Validation
Lead by Heactor Iacovides, Walter Villanueva
Acknowledgement
Please be aware that acknowledgement of CoSeC resources is crucial to our continued support.
All published work supported by CoSeC must carry the following acknowledgment, regardless of whether CoSeC staff are included as authors:
“This work made use of computational support by CoSeC, the Computational Science Centre for Research Communities, through CCP-NTH.”
Any CoSeC staff member who made significant contributions should be included as an author and will expect to review the paper before its submission to a journal/conference.
Please make use of the attached logo in any presentations and posters when acknowledging the support of CoSeC and CCP-NTH
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Related Information
News
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