This paper presents the UQpy software toolbox, an open-source Python package for general
uncertainty quantification (UQ) in mathematical and physical systems. The software serves …

EasyVVUQ is an open source Python library (https://github. com/UCL-CCS/EasyVVUQ)
designed to facilitate verification, validation and uncertainty quantification (VVUQ) for a wide …

We present the VECMA toolkit (VECMAtk), a flexible software environment for single and
multiscale simulations that introduces directly applicable and reusable procedures for …

Validation, verification, and uncertainty quantification (VVUQ) of simulation workflows are
essential for building trust in simulation results, and their increased use in decision‐making …

Multiscale modelling and simulation typically entails coupling multiple simulation codes into
a single program. Doing this in an ad-hoc fashion tends to result in a tightly coupled, difficult …

Abstract The In-Stent Restenosis 2D model is a full y coupled multiscale simulation of post-
stenting tissue growth, in which the most costly submodel is the blood flow simulation. This …

Uncertainty quantification (UQ) is a key component when using computational models that
involve uncertainties, eg in decision-making scenarios. In this work, we present uncertainty …

For the reliability analysis of composite laminate structures, there is a problem of difficult
data acquisition. Traditional reliability analysis methods require a large amount of data to …

Parameter and initial conditions (factors) estimation is a challenging task in non-linear
models. Even if researchers successfully estimate those model factors, they still should …

We perform uncertainty quantification on a one-dimensional arterial blood flow model and
investigate the resulting uncertainty in a coupled tissue perfusion model of the brain. The …