Dataset and codes to allow the reproducibility of the results presented in the publication: N. Abrate, S. Dulla, P.Ravetto, "Generalized Perturbation Techniques for Uncertainty Quantification in Lead-Cooled Fast Reactors", Annals of Nuclear Energy (2021
Neutronics calculation for nuclear reactor with high-fidelity technology can significantly reduce th...
International audienceA nuclear data-based uncertainty propagation methodology is extended to enable...
In the BEPU (Best Estimate Plus Uncertainty) framework, uncertainty quantification (UQ) is a require...
The design of innovative nuclear fission systems requires a careful evaluation of the uncertainties ...
International audienceThe development of tools for nuclear data uncertainty propagation in lattice c...
In this study, the Best Estimate Plus Uncertainty (BEPU) approach is developed for the systematic qu...
For the successful deployment of advanced nuclear systems and for optimization of current reactor de...
In the present paper, firstly, we review our previous works on uncertainty quantification (UQ) of re...
This paper shows how Total Monte Carlo (TMC) method and Perturbation Theory (PT) can be applied to q...
The paper shows the application of the most recent sensitivity techniques implemented in Serpent-2 i...
The XGPT method extends the Generalized Perturbation Theory capabilities of Monte Carlo codes to con...
This repository contains the dataset, post-processing script and models needed to reproduce the resu...
For the successful deployment of advanced nuclear systems and optimization of current reactor design...
The paper demonstrates the influence of uncertainties in microscopic nuclear data on the results of ...
Dataset of perturbed nuclear data files employed in the Serpent Monte Carlo code for the nuclear dat...
Neutronics calculation for nuclear reactor with high-fidelity technology can significantly reduce th...
International audienceA nuclear data-based uncertainty propagation methodology is extended to enable...
In the BEPU (Best Estimate Plus Uncertainty) framework, uncertainty quantification (UQ) is a require...
The design of innovative nuclear fission systems requires a careful evaluation of the uncertainties ...
International audienceThe development of tools for nuclear data uncertainty propagation in lattice c...
In this study, the Best Estimate Plus Uncertainty (BEPU) approach is developed for the systematic qu...
For the successful deployment of advanced nuclear systems and for optimization of current reactor de...
In the present paper, firstly, we review our previous works on uncertainty quantification (UQ) of re...
This paper shows how Total Monte Carlo (TMC) method and Perturbation Theory (PT) can be applied to q...
The paper shows the application of the most recent sensitivity techniques implemented in Serpent-2 i...
The XGPT method extends the Generalized Perturbation Theory capabilities of Monte Carlo codes to con...
This repository contains the dataset, post-processing script and models needed to reproduce the resu...
For the successful deployment of advanced nuclear systems and optimization of current reactor design...
The paper demonstrates the influence of uncertainties in microscopic nuclear data on the results of ...
Dataset of perturbed nuclear data files employed in the Serpent Monte Carlo code for the nuclear dat...
Neutronics calculation for nuclear reactor with high-fidelity technology can significantly reduce th...
International audienceA nuclear data-based uncertainty propagation methodology is extended to enable...
In the BEPU (Best Estimate Plus Uncertainty) framework, uncertainty quantification (UQ) is a require...
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