activity
20102023
most citedSciANN: A Keras/Tensorflow wrapper for scientific computations and physics-informed deep learning using artificial neural networks

428 citations · 1.5k across the 19 of their papers we have counts for

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Showing 2023Show all

7 papers · 1 filter

cond-mat.soft2023

Soft matter physics of the ground beneath our feet

Anne Voigtländer, Morgane Houssais, Karol A. Bacik +24

Inspired by presentations by the authors during a workshop organized at the Princeton Center for Theoretical Science (PCTS) in January 2022, we present a perspective on some of the…

physics.flu-dyn2023★ 2 cited

A Darcy-Cahn-Hilliard model of multiphase fluid-driven fracture

Alexandre Guével, Yue Meng, Christian Peco +2

A Darcy-Cahn-Hilliard model coupled with damage is developed to describe multiphase-flow and fluid-driven fracturing in porous media. The model is motivated by recent experimental…

cond-mat.soft2023★ 12 cited

Crossover from viscous fingering to fracturing in cohesive wet granular media: a photoporomechanics study

Yue Meng, Wei Li, Ruben Juanes

We study fluid-induced deformation and fracture of cohesive granular media, and apply photoporomechanics to uncover the underpinning grain-scale mechanics. We fabricate photoelasti…

physics.geo-ph2023★ 11 cited

The FluidFlower International Benchmark Study: Process, Modeling Results, and Comparison to Experimental Data

Bernd Flemisch, Jan M. Nordbotten, Martin Fernø +30

Successful deployment of geological carbon storage (GCS) requires an extensive use of reservoir simulators for screening, ranking and optimization of storage sites. However, the ti…

cond-mat.soft2023★ 24 cited

Characteristics of fluid-fluid displacement in model mixed-wet porous media: patterns, pressures, and scalings

Ashkan Irannezhad, Bauyrzhan K. Primkulov, Ruben Juanes +1

We study the characteristics of fluid-fluid displacement in simple mixed-wet porous micromodels numerically using a dynamic pore network model. The porous micromodel consists of di…

physics.flu-dyn2023★ 2 cited

Direct comparison of numerical simulations and experiments of CO injection and migration in geologic media: Value of local data and predictability

Lluís Saló-Salgado, Malin Haugen, Kristoffer Eikehaug +3

The accuracy and robustness of numerical models of geologic CO sequestration are almost never quantified with respect to direct observations that provide a ground truth. Here,…

physics.geo-ph2023★ 2 cited

Physical variability in meter-scale laboratory CO injections in faulted geometries

Malin Haugen, Lluis Salo-Salgado, Kristoffer Eikehaug +7

Carbon, capture, and storage (CCS) is an important bridging technology to combat climate change in the transition towards net-zero. The FluidFlower concept has been developed to vi…