Complexity science and systems thinking are increasingly recognized as relevant paradigms for studying systems where biology, psychology, and socioenvironmental factors …
JA Leopold, BA Maron, J Loscalzo - The Journal of clinical …, 2020 - Am Soc Clin Investig
Advanced phenotyping of cardiovascular diseases has evolved with the application of high- resolution omics screening to populations enrolled in large-scale observational and clinical …
The widespread incidence of cardiovascular diseases and associated mortality and morbidity, along with the advent of powerful computational resources, have fostered an …
Alzheimer's disease (AD) is a complex, multicausal disorder involving several spatiotemporal scales and scientific domains. While many studies focus on specific parts of …
D Ye, A Nikishova, L Veen, P Zun… - Reliability Engineering & …, 2021 - Elsevier
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 …
We present and discuss a novel approach to deal with conservation properties for the simulation of nonlinear complex porous media flows in the presence of the following:(1) …
We present new capabilities for investigation of microstructure in energetic material response for both explicit large‐scale and multiscale simulations. We demonstrate the …
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 …
This short contribution introduces a theme issue dedicated to 'Multiscale modelling, simulation and computing: from the desktop to the exascale'. It holds a collection of articles …