| Fast uncertainty quantification of spent nuclear fuel with neural networks A Albà, A Adelmann, L Münster, D Rochman, R Boiger Annals of Nuclear Energy 196, 110204, 2024 | 5 | 2024 |
| Opal-mithra: Self-consistent software for start-to-end simulation of undulator-based facilities A Albà, A Adelmann, A Fallahi 2020 33rd International Vacuum Nanoelectronics Conference (IVNC), 1-2, 2020 | 4 | 2020 |
| Benchmarking collective effects of electron interactions in a wiggler with OPAL-FEL A Albà, J Seok, A Adelmann, S Doran, G Ha, S Lee, Y Piao, J Power, ... Computer Physics Communications 280, 108475, 2022 | 3 | 2022 |
| Uncertainty Quantification on Spent Nuclear Fuel with LMC A Albà, A Adelmann, D Rochman arXiv preprint arXiv:2309.00364, 2023 | 2 | 2023 |
| Lasso Monte Carlo, a Variation on Multi Fidelity Methods for High Dimensional Uncertainty Quantification A Albà, R Boiger, D Rochman, A Adelmann arXiv preprint arXiv:2210.03634, 2022 | 2 | 2022 |
| Uncertainty quantification of spent nuclear fuel with multifidelity Monte Carlo A Albà, A Adelmann, D Rochman Annals of Nuclear Energy 211, 110892, 2025 | 1 | 2025 |
| Novel Methods for Uncertainty Quantification of Spent Nuclear Fuel A Albà ETH Zurich, 2024 | | 2024 |
Andreas AdelmannPaul Scherrer Institut (PSI)在 psi.ch 的电子邮件经过验证
Andreas AdelmannPaul Scherrer Institut (PSI)在 psi.ch 的电子邮件经过验证
Arya FallahiCisco Systems在 cisco.com 的电子邮件经过验证
Alexander ZholentsArgonne National Laboratory在 anl.gov 的电子邮件经过验证