E. Alhassan

Combining Total Monte Carlo and Unified Monte Carlo: Bayesian nuclear data uncertainty quantification from auto-generated experimental covariances

Petter Helgesson, Henrik Sjöstrand, A. J. Koning et al. · Progress in Nuclear Energy · 2016 · 27 citations

Engineering, Unified Monte Carlo, Uncertainty Quantification +11

UO₂ versus MOX: Propagated Nuclear Data Uncertainty for k_eff, with Burnup

Petter Helgesson, D. Rochman, Henrik Sjöstrand et al. · Nuclear Science and Engineering · 2014 · 26 citations

Engineering, Nuclear Physics, Mox Fuels +26

Iterative Bayesian Monte Carlo for nuclear data evaluation

E. Alhassan, D. Rochman, A. Vasiliev et al. · Nuclear Science and Techniques · 2022 · 24 citations · Full text

On the use of integral experiments for uncertainty reduction of reactor macroscopic parameters within the TMC methodology

E. Alhassan, Henrik Sjöstrand, Petter Helgesson et al. · Progress in Nuclear Energy · 2015 · 21 citations

Numerical Analysis, Engineering, Uncertainty Quantification +14

Propagation of Nuclear Data Uncertainties for ELECTRA Burn-up Calculations

Henrik Sjöstrand, E. Alhassan, Junfeng Duan et al. · Nuclear Data Sheets · 2014 · 21 citations · Full text

Engineering, Uncertainty Quantification, Nuclear Data +3