Speaker
Description
The Fusion Evaluated Nuclear Data Library (FENDL), coordinated by the IAEA’s Nuclear Data Section, is a key resource for nuclear data in fusion energy applications. The project involves a broad international collaboration to evaluate, process, validate, and document nuclear data relevant for both Monte Carlo and deterministic simulations.
Recent developments have led to the preparation of FENDL-3.2c, which supersedes FENDL-3.2b. Main updates include revised evaluations for neutron, proton, and deuteron sub-libraries. For incident neutrons, tungsten isotopes were adopted from a corrected version of the ENDF/B-VIII.0 library, while Li-7 for incident protons was taken from JENDL-5. Additionally, some erroneous data were removed from several evaluations for incident deuterons.
The data processing methodology was also updated. All evaluations - regardless of incident particle - are now processed using NJOY2016.74 with custom NDS/IAEA patches. Enhancements to NJOY2016 modules, such as HEATR, PURR, ACER, and RECONR, address issues in heating, damage calculations, and probability table generation in the unresolved resonance region.
Extensive verification and validation (V&V) activities confirmed the quality of FENDL-3.2c through comparisons with experimental and computational benchmarks. The library is freely accessible via the NDS/IAEA website. To support users, the project has developed open-source tools, including endf-parserpy and endf-userpy, which facilitate flexible data processing, visualisation, and analysis.
Looking ahead, the FENDL developers are preparing for a major release by integrating new evaluations, extending activation and covariance data, incorporating thermal scattering laws, and enhancing the automation of the V&V process. These efforts aim to ensure that FENDL continues to support the evolving needs of the fusion community with high-quality, reliable nuclear data.