activity
20172021
most citedBayesian Dynamical System Identification With Unified Sparsity Priors And Model Uncertainty

3 citations · 6 across the 3 of their papers we have counts for

collaborators

8 papers

eess.SY20213 cited

Bayesian Dynamical System Identification With Unified Sparsity Priors And Model Uncertainty

Prem Ratan Mohan Ram, Ulrich Römer, Richard Semaan

This work is concerned with uncertainty quantification in reduced-order dynamical system identification. Reduced-order models for system dynamics are ubiquitous in design and contr…

math.NA20202 cited

Goal-oriented a posteriori estimation of numerical errors in the solution of multiphysics systems

Mahesh Narayanamurthi, Ulrich Römer, Adrian Sandu

This paper develops a general methodology for a posteriori error estimation in time-dependent multiphysics numerical simulations. The methodology builds upon the generalized-struct…

cs.CE2019

Yield Optimization based on Adaptive Newton-Monte Carlo and Polynomial Surrogates

Mona Fuhrländer, Niklas Georg, Ulrich Römer +1

In this paper we present an algorithm for yield estimation and optimization exploiting Hessian based optimization methods, an adaptive Monte Carlo (MC) strategy, polynomial surroga…

cs.CE2019

Uncertainty Modeling and Analysis of the European X-ray Free Electron Laser Cavities Manufacturing Process

Jacopo Corno, Niklas Georg, Shahnam Gorgi Zadeh +9

This paper reports on comprehensive efforts on uncertainty quantification and global sensitivity analysis for accelerator cavity design. As a case study object the TESLA shaped sup…

cs.CE2018

Coupled Simulation of Transient Heat Flow and Electric Currents in Thin Wires: Application to Bond Wires in Microelectronic Chip Packaging

Thorben Casper, Ulrich Römer, Sebastian Schöps +1

This work addresses the simulation of heat flow and electric currents in thin wires. An important application is the use of bond wires in microelectronic chip packaging. The heat d…

cs.CE2018

Enhanced adaptive surrogate models with applications in uncertainty quantification for nanoplasmonics

Niklas Georg, Dimitrios Loukrezis, Ulrich Römer +1

We propose an efficient surrogate modeling technique for uncertainty quantification. The method is based on a well-known dimension-adaptive collocation scheme. We improve the schem…