3 papers
cond-mat.mtrl-sci2024
Estimation of material parameter uncertainties using probabilistic and interval approaches
Thomas Most
Within the calibration of material models, often the numerical results of a simulation model are compared with the experimental measurements . Usually, the differences bet…
stat.CO2024
Efficient variance-based reliability sensitivity analysis for Monte Carlo methods
Thomas Most
In this paper, a Monte Carlo based approach for the quantification of the importance of the scattering input parameters with respect to the failure probability is presented. Using…
math.OC2024
A global optimization approach for antenna design using analytical derivatives from high-frequency simulations
Thomas Most, Peter Krenz, Ralf Lampert
Antennas are more prevalent than ever enabling 5G connectivity for wide ranging applications like cellular communication, IoT, autonomous vehicles, etc. Optimizing an antenna desig…