research
∙
11/23/2021
A Massively Parallel Implementation of Multilevel Monte Carlo for Finite Element Models
The Multilevel Monte Carlo (MLMC) method has proven to be an effective v...
share
research
∙
04/15/2021
Bi-fidelity Reduced Polynomial Chaos Expansion for Uncertainty Quantification
A ubiquitous challenge in design space exploration or uncertainty quanti...
research
∙
11/27/2019
Embedded multilevel Monte Carlo for uncertainty quantification in random domains
The multilevel Monte Carlo (MLMC) method has proven to be an effective v...
research
∙
02/11/2019
Topology Optimization under Uncertainty using a Stochastic Gradient-based Approach
Topology optimization under uncertainty (TOuU) often defines objectives ...
research
∙
12/29/2017