74 citations · 525 across the 47 of their papers we have counts for
6 papers · 1 filter
A shortest-path based clustering algorithm for joint human-machine analysis of complex datasets
Diego Ulisse Pizzagalli, Santiago Fernandez Gonzalez, Rolf Krause
Clustering is a technique for the analysis of datasets obtained by empirical studies in several disciplines with a major application for biomedical research. Essentially, clusterin…
Simulation of hydro-mechanically coupled processes in rough rock fractures using an immersed boundary method and variational transfer operators
Cyrill von Planta, Daniel Vogler, Xiaoqing Chen +3
Hydro-mechanical processes in rough fractures are highly non-linear and govern productivity and associated risks in a wide range of reservoir engineering problems. To enable high-r…
Contact between rough rock surfaces using a dual mortar method
Cyrill von Planta, Daniel Vogler, Patrick Zulian +2
The mechanical behavior of fractures in solids, such as rocks, has strong implications for reservoir engineering applications. Deformations, and the corresponding change in solid c…
An immersed boundary method for fluid-structure interaction based on overlapping domain decomposition
Maria Giuseppina Chiara Nestola, Barna Becsek, Hadi Zolfaghari +4
We present a novel framework inspired by the Immersed Boundary Method for predicting the fluid-structure interaction of complex structures immersed in flows with moderate to high R…
Smart energy models for atomistic simulations using a DFT-driven multifidelity approach
Luca Messina, Alessio Quaglino, Alexandra Goryaeva +5
The reliability of atomistic simulations depends on the quality of the underlying energy models providing the source of physical information, for instance for the calculation of mi…
High-dimensional and higher-order multifidelity Monte Carlo estimators
Alessio Quaglino, Simone Pezzuto, Rolf Krause
Multifidelity Monte Carlo methods rely on a hierarchy of possibly less accurate but statistically correlated simplified or reduced models, in order to accelerate the estimation of…