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Global sensitivity analysis of background life cycle inventories
Kim, A., Mutel, C. L., Froemelt, A., & Hellweg, S. (2022). Global sensitivity analysis of background life cycle inventories. Environmental Science and Technology, 56(9), 5874-5885. https://doi.org/10.1021/acs.est.1c07438
Robust high-dimensional screening
Kim, A., Mutel, C., & Froemelt, A. (2022). Robust high-dimensional screening. Environmental Modelling and Software, 148, 105270 (27 pp.). https://doi.org/10.1016/j.envsoft.2021.105270
Global sensitivity analysis and bayesian calibration on a series of reflood experiments with varying boundary conditions
Perret, G., Wicaksono, D., Clifford, I. D., & Ferroukhi, H. (2022). Global sensitivity analysis and bayesian calibration on a series of reflood experiments with varying boundary conditions. Nuclear Technology, 208(4), 711-722. https://doi.org/10.1080/00295450.2021.1936879
Quantitative assessment of uncertainties and sensitivities in the estimation of life loss due to the instantaneous break of a hypothetical dam in Switzerland
Kalinina, A., Spada, M., & Burgherr, P. (2021). Quantitative assessment of uncertainties and sensitivities in the estimation of life loss due to the instantaneous break of a hypothetical dam in Switzerland. Water, 13(23), 3414 (22 pp.). https://doi.org/10.3390/w13233414
Global sensitivity analysis on numerical solver parameters of particle-in-cell models in particle accelerator systems
Frey, M., & Adelmann, A. (2020). Global sensitivity analysis on numerical solver parameters of particle-in-cell models in particle accelerator systems. Computer Physics Communications, 258, 107577 (17 pp.). https://doi.org/10.1016/j.cpc.2020.107577
Metamodeling for uncertainty quantification of a flood wave model for concrete dam breaks
Kalinina, A., Spada, M., Vetsch, D., Marelli, S., Whealton, C., Burgherr, P., & Sudret, B. (2020). Metamodeling for uncertainty quantification of a flood wave model for concrete dam breaks. Energies, 13(14), 3685 (25 pp.). https://doi.org/10.3390/en13143685
Global sensitivity and registration strategy for temperature profile of reflood experiment simulations
Perret, G., Wicaksono, D., Clifford, I. D., & Ferroukhi, H. (2019). Global sensitivity and registration strategy for temperature profile of reflood experiment simulations. Nuclear Technology, 205(12), 1638-1651. https://doi.org/10.1080/00295450.2019.1591154
Adsorption of thiophene by activated carbon: a global sensitivity analysis
Edinger, P., Grimekis, D., Panopoulos, K., Karellas, S., & Ludwig, C. (2017). Adsorption of thiophene by activated carbon: a global sensitivity analysis. Journal of Environmental Chemical Engineering, 5(4), 4173-4184. https://doi.org/10.1016/j.jece.2017.07.041
Global sensitivity analysis of transient code output applied to a reflood experiment model using the TRACE code
Wicaksono, D., Zerkak, O., & Pautz, A. (2016). Global sensitivity analysis of transient code output applied to a reflood experiment model using the TRACE code. Nuclear Science and Engineering, 184(3), 400-429. https://doi.org/10.13182/NSE16-37
A methodology for global sensitivity analysis of transient code output applied to a reflood experiment model using TRACE
Wicaksono, D., Zerkak, O., & Pautz, A. (2015). A methodology for global sensitivity analysis of transient code output applied to a reflood experiment model using TRACE. In 16th international topical meeting on nuclear reactor thermal hydraulics (NURETH-16) (pp. 4862-4879). American Nuclear Society.
NUSS-RF: stochastic sampling-based tool for nuclear data sensitivity and uncertainty quantification
Zhu, T., Vasiliev, A., Ferroukhi, H., Pautz, A., & Tarantola, S. (2015). NUSS-RF: stochastic sampling-based tool for nuclear data sensitivity and uncertainty quantification. Journal of Nuclear Science and Technology, 52(7-8), 1000-1007. https://doi.org/10.1080/00223131.2015.1040864