Gert Van den Eynde -

Research activity per year

56 Article
48 In-proceedings paper
7 Master's thesis
6 Third partyreport
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An Efficient Variance-Based Uncertainty Decomposition Methodology for Nuclear Data in LWR Depletion Calculations
Engelen, L., Fiorito, L. & Van den Eynde, G., 2025, Proceedings of the International Conference on Mathematics and Computational Methods Applied to Nuclear Science and Engineering, M and C 2025. American Nuclear Society, p. 302-311 10 p. (Proceedings of the International Conference on Mathematics and Computational Methods Applied to Nuclear Science and Engineering, M and C 2025).
Research output › peer-review
Built-in physics models and proton-induced nuclear data validation using MCNP, PHITS, and FLUKA – Impact on the shielding design for proton accelerator facilities
Çelik, Y., Stankovskiy, A., Iwamoto, H., Iwamoto, Y. & Van den Eynde, G., Mar 2025, In: Annals of nuclear energy. 212, 12 p., 111048.
Research output › peer-review
Dataset of observables for Small Modular Lead-cooled Fast Reactor MOX Spent Nuclear Fuel
Casas Molina, V., Romojaro, P., Nourry, G., Van den Eynde, G., Fiorito, L., Merino Rodríguez, I., Dhaene, T. & Couckuyt, I., Jun 2025, In: Data in Brief. 60, 14 p., 111513.
Research output › peer-review

Open Access
Application of nuclear data covariance matrices to representativity calculations
Grimaldi, F., Blaise, P. D., Fiorito, L., Kochetkov, A., Krása, A., Labeau, P.-E., Romojaro, P., Van den Eynde, G., Vittiglio, G. & Wagemans, J., 17 Apr 2024, EPJ Web of Conf.. 2024 ed. EDP Sciences, Vol. 294. 7 p. 05005. (EPJ Web of Conferences).
Research output › peer-review

Open Access
Benchmarking of proton- and neutron-induced nuclear data with MCNP6.2 using SINBAD experiments
Çelik, Y., Iwamoto, Y., Stankovskiy, A., Ciccarelli, M. & Van den Eynde, G., 2024, In: Nuclear Science and Engineering. 198, 2, p. 358-369 12 p.
Research output › peer-review

Gert Van den Eynde

Collaborations and top research areas from the last five years

Dive into details

An Efficient Variance-Based Uncertainty Decomposition Methodology for Nuclear Data in LWR Depletion Calculations

Built-in physics models and proton-induced nuclear data validation using MCNP, PHITS, and FLUKA – Impact on the shielding design for proton accelerator facilities

Dataset of observables for Small Modular Lead-cooled Fast Reactor MOX Spent Nuclear Fuel

Application of nuclear data covariance matrices to representativity calculations

Benchmarking of proton- and neutron-induced nuclear data with MCNP6.2 using SINBAD experiments

Gert Van den Eynde

Collaborations and top research areas from the last five years

Research output

An Efficient Variance-Based Uncertainty Decomposition Methodology for Nuclear Data in LWR Depletion Calculations

Built-in physics models and proton-induced nuclear data validation using MCNP, PHITS, and FLUKA – Impact on the shielding design for proton accelerator facilities

Dataset of observables for Small Modular Lead-cooled Fast Reactor MOX Spent Nuclear Fuel

Application of nuclear data covariance matrices to representativity calculations

Benchmarking of proton- and neutron-induced nuclear data with MCNP6.2 using SINBAD experiments