| Where is my footprint located? Estimating the geographical variance of hybrid LCA footprints
Jakobs, A., Schulte, S., & Pauliuk, S. (2024). Where is my footprint located? Estimating the geographical variance of hybrid LCA footprints. Journal of Industrial Ecology. https://doi.org/10.1111/jiec.13467 |
| Main outcomes of the Phebus FPT1 uncertainty and sensitivity analysis in the EU-MUSA project
Mascari, F., Bersano, A., Massone, M., Agnello, G., Coindreau, O., Beck, S., … Sevon, T. (2024). Main outcomes of the Phebus FPT1 uncertainty and sensitivity analysis in the EU-MUSA project. Annals of Nuclear Energy, 196, 110205 (14 pp.). https://doi.org/10.1016/j.anucene.2023.110205 |
| Assessment of the choked flow model of RELAP5 for the application of inverse quantification methods
Freixa, J., Martínez-Quiroga, V., & Perret, G. (2023). Assessment of the choked flow model of RELAP5 for the application of inverse quantification methods. In 20th international topical meeting on nuclear reactor thermal hydraulics (NURETH-20) (pp. 5426-5439). https://doi.org/10.13182/NURETH20-40674 |
| How accurate are half-life data of long-lived radionuclides?
Heinitz, S., Kajan, I., & Schumann, D. (2022). How accurate are half-life data of long-lived radionuclides? Radiochimica Acta, 110(6-9), 589-608. https://doi.org/10.1515/ract-2021-1135 |
| Measurement of the <sup>171</sup>Tm half-life
Kajan, I., Pommé, S., & Heinitz, S. (2022). Measurement of the 171Tm half-life. Journal of Radioanalytical and Nuclear Chemistry, 331, 645-653. https://doi.org/10.1007/s10967-021-08108-w |
| A novel procedure to evaluate the performance of failure assessment models
Lingyun, G., Niffenegger, M., & Jing, Z. (2022). A novel procedure to evaluate the performance of failure assessment models. Reliability Engineering and System Safety, 226, 108667 (12 pp.). https://doi.org/10.1016/j.ress.2022.108667 |
| First outcomes from the phebus FPT1 uncertainty application done in the EU-MUSA project
Mascari, F., Bersano, A., Massone, M., Agnello, G., Coindreau, O., Beck, S., … Sevon, T. (2022). First outcomes from the phebus FPT1 uncertainty application done in the EU-MUSA project. In 19th international topical meeting on nuclear reactor thermal hydraulics (NURETH-19) (p. 35666 (16 pp.). American Nuclear Society. |
| Bias and uncertainty considerations for trace predictions of RBHT reflood experiments
Perret, G., Clifford, I., & Ferroukhi, H. (2022). Bias and uncertainty considerations for trace predictions of RBHT reflood experiments. In 19th international topical meeting on nuclear reactor thermal hydraulics (NURETH-19) (p. 19001 (14 pp.). American Nuclear Society. |
| Deformable image registration uncertainty quantification using deep learning for dose accumulation in adaptive proton therapy
Smolders, A., Lomax, T., Weber, D. C., & Albertini, F. (2022). Deformable image registration uncertainty quantification using deep learning for dose accumulation in adaptive proton therapy. In A. Hering, J. Schnabel, M. Zhang, E. Ferrante, M. Heinrich, & D. Rueckert (Eds.), Lecture notes in computer science: Vol. 13386. Biomedical image registration. 10th international workshop, WBIR 2022, Munich, Germany, July 10-12, 2022, proceedings (pp. 57-66). https://doi.org/10.1007/978-3-031-11203-4_7 |
| Quantifying signal quality in scanning transmission X-ray microscopy
Watts, B., Finizio, S., & Raabe, J. (2022). Quantifying signal quality in scanning transmission X-ray microscopy. Journal of Synchrotron Radiation, 29(4), 1054-1064. https://doi.org/10.1107/S1600577522004210 |
| Measurement of the <sup>145</sup>Sm half-life
Kajan, I., Pommé, S., Pelczar, K., & Heinitz, S. (2021). Measurement of the 145Sm half-life. Applied Radiation and Isotopes, 178, 109978 (8 pp.). https://doi.org/10.1016/j.apradiso.2021.109978 |
| Comparative risk assessment for fossil energy chains using Bayesian Model Averaging
Spada, M., & Burgherr, P. (2020). Comparative risk assessment for fossil energy chains using Bayesian Model Averaging. Energies, 13(2), 295 (21 pp.). https://doi.org/10.3390/en13020295 |
| Probabilistic assessment of realizing the 1.5 °C climate target
Marcucci, A., Panos, E., Kypreos, S., & Fragkos, P. (2019). Probabilistic assessment of realizing the 1.5 °C climate target. Applied Energy, 239, 239-251. https://doi.org/10.1016/j.apenergy.2019.01.190 |
| Overview and recommendations for regionalized life cycle impact assessment
Mutel, C., Liao, X., Patouillard, L., Bare, J., Fantke, P., Frischknecht, R., … Verones, F. (2019). Overview and recommendations for regionalized life cycle impact assessment. International Journal of Life Cycle Assessment, 24(5), 856-865. https://doi.org/10.1007/s11367-018-1539-4 |
| Effects of distribution choice on the modeling of life cycle inventory uncertainty: an assessment on the ecoinvent v2.2 database
Muller, S., Mutel, C., Lesage, P., & Samson, R. (2018). Effects of distribution choice on the modeling of life cycle inventory uncertainty: an assessment on the ecoinvent v2.2 database. Journal of Industrial Ecology, 22(2), 300-313. https://doi.org/10.1111/jiec.12574 |
| How inelastic scattering stimulates nonlinear reactor core parameter behaviour
Rochman, D., Vasiliev, A., Ferroukhi, H., Dokhane, H., & Koning, A. (2018). How inelastic scattering stimulates nonlinear reactor core parameter behaviour. Annals of Nuclear Energy, 112, 236-244. https://doi.org/10.1016/j.anucene.2017.10.018 |
| On the importance of the neutron scattering angular distributions for the LWR fast neutron dosimetry
Vasiliev, A., Rochman, D., Pecchia, M., & Ferroukhi, H. (2018). On the importance of the neutron scattering angular distributions for the LWR fast neutron dosimetry. In International conference on physics of reactors (PHYSOR 2018). Reactor physics paving the way towards more efficient systems (pp. 3686-3697). Curran Associates, Inc. |
| Life cycle inventories of electricity supply through the lens of data quality: exploring challenges and opportunities
Astudillo, M. F., Treyer, K., Bauer, C., Pineau, P. O., & Amor, M. B. (2017). Life cycle inventories of electricity supply through the lens of data quality: exploring challenges and opportunities. International Journal of Life Cycle Assessment, 22(3), 374-386. https://doi.org/10.1007/s11367-016-1163-0 |
| A robust optimisation approach accounting for the effect of fractionation on setup uncertainties
Lowe, M., Aitkenhead, A., Albertini, F., Lomax, A. J., & Mackay, R. I. (2017). A robust optimisation approach accounting for the effect of fractionation on setup uncertainties. Physics in Medicine and Biology, 62(20), 8178-8196. https://doi.org/10.1088/1361-6560/aa8c58 |
| Incorporating the effect of fractionation in the evaluation of proton plan robustness to setup errors
Lowe, M., Albertini, F., Aitkenhead, A., Lomax, A. J., & MacKay, R. I. (2016). Incorporating the effect of fractionation in the evaluation of proton plan robustness to setup errors. Physics in Medicine and Biology, 61(1), 413-429. https://doi.org/10.1088/0031-9155/61/1/413 |
