Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Boiger, Romana"'
Autor:
Boiger, Romana, Churakov, Sergey V., Llagaria, Ignacio Ballester, Kosakowski, Georg, Wüst, Raphael, Prasianakis, Nikolaos I.
Deep subsurface exploration is important for mining, oil and gas industries, as well as in the assessment of geological units for the disposal of chemical or nuclear waste, or the viability of geothermal energy systems. Typically, detailed examinatio
Externí odkaz:
http://arxiv.org/abs/2403.18495
The accurate calculation and uncertainty quantification of the characteristics of spent nuclear fuel (SNF) play a crucial role in ensuring the safety, efficiency, and sustainability of nuclear energy production, waste management, and nuclear safeguar
Externí odkaz:
http://arxiv.org/abs/2308.08391
Uncertainty quantification (UQ) is an active area of research, and an essential technique used in all fields of science and engineering. The most common methods for UQ are Monte Carlo and surrogate-modelling. The former method is dimensionality indep
Externí odkaz:
http://arxiv.org/abs/2210.03634
Autor:
Boiger, Romana, Modini, Rob L., Moallemi, Alireza, Degen, David, Gysel-Beer, Martin, Adelmann, Andreas
Atmospheric aerosols have a major influence on the earths climate and public health. Hence, studying their properties and recovering them from light scattering measurements is of great importance. State of the art retrieval methods such as pre-comput
Externí odkaz:
http://arxiv.org/abs/2111.07960
Particle accelerators are enabling tools for scientific exploration and discovery in various disciplines. Finding optimized operation points for these complex machines is a challenging task, however, due to the large number of parameters involved and
Externí odkaz:
http://arxiv.org/abs/2107.00060
Publikováno v:
In Annals of Nuclear Energy February 2024 196
Partial differential equation (PDE) models are widely used in engineering and natural sciences to describe spatio-temporal processes. The parameters of the considered processes are often unknown and have to be estimated from experimental data. Due to
Externí odkaz:
http://arxiv.org/abs/1604.02894
Autor:
Boiger, Romana, Kaltenbacher, Barbara
Online parameter identification is of importance, e.g., for model predictive control. Since the parameters have to be identified simultaneously to the process of the modeled system, dynamical update laws are used for state and parameter estimates. Mo
Externí odkaz:
http://arxiv.org/abs/1506.00658
Uncertainty quantification (UQ) is an active area of research, and an essential technique used in all fields of science and engineering. The most common methods for UQ are Monte Carlo and surrogate-modelling. The former method is dimensionality indep
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c17cfd8725cb8c3ab1f43bff7ff7c3b8
http://arxiv.org/abs/2210.03634
http://arxiv.org/abs/2210.03634
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.