46 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- ETH ZurichCH8 papers
- Stanford UniversityUS2 papers
- Board of the Swiss Federal Institutes of TechnologyCH1 paper
- Centre National de la Recherche ScientifiqueFR1 paper
- Chinese Academy of SciencesCN1 paper
- École Centrale de LyonFR1 paper
- Georgetown UniversityUS1 paper
- George Washington UniversityUS1 paper
- Huazhong University of Science and TechnologyCN1 paper
- Institute of MechanicsBG1 paper
- Institut National des Sciences Appliquées de LyonFR1 paper
- Laboratoire de Mécanique des Fluides et d'AcoustiqueFR1 paper
8 papers
A unified stochastic particle method based on the Bhatnagar-Gross-Krook model for polyatomic gases and its combination with DSMC
Fei Fei, Yuan Hu, Patrick Jenny
Simulating hypersonic flow around a space vehicle is challenging because of the multiscale and nonequilibrium nature inherent in these flows. To effectively deal with such flows, a…
Modeling multiple scattering transient of an ultrashort laser pulse by spherical particles
Geoffroy Chaussonnet, Loïc Mees, Miloš Šormaz +2
The multiple scattering of an ultrashort laser pulse by a turbid dispersive medium (namely a cloud of bubbles in water) is investigated by means of Monte Carlo simulations. The the…
Flow in bounded and unbounded pore networks with different connectivity
Daniel W. Meyer, Artur Gomolinski
This work is concerned with the intricate interplay between node or pore pressures and connection or throat conductivities in flow or pore networks. A setting similar to pore netwo…
Modeling tissue perfusion in terms of 1d-3d embedded mixed-dimension coupled problems with distributed sources
Timo Koch, Martin Schneider, Rainer Helmig +1
We present a new method for modeling tissue perfusion on the capillary scale. The microvasculature is represented by a network of one-dimensional vessel segments embedded in the ex…
Sequential Fully Implicit Formulation for Compositional Simulation using Natural Variables
A. Moncorge, H. A. Tchelepi, P. Jenny
The Sequential Fully Implicit (SFI) method was proposed to simulate coupled immiscible multiphase fluid flow in porous media. Later, it was extended to the black-oil model, whereby…
(Un)Conditional Sample Generation Based on Distribution Element Trees
Daniel W. Meyer
Recently, distribution element trees (DETs) were introduced as an accurate and computationally efficient method for density estimation. In this work, we demonstrate that the DET fo…
Temporal Markov Processes for Transport in Porous Media: Random Lattice Networks
Amir H. Delgoshaie, Patrick Jenny, Hamdi A. Tchelepi
Monte Carlo (MC) simulations of transport in random porous networks indicate that for high variances of the log-normal permeability distribution, the transport of a passive tracer…
Density Estimation with Distribution Element Trees
Daniel W. Meyer
The estimation of probability densities based on available data is a central task in many statistical applications. Especially in the case of large ensembles with many samples or h…