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We present our progress on the application of physics informed deep learning to reservoir simulation problems. The model is a neural network that is jointly trained to respect governing physical laws and match boundary conditions. The…

Fluid Dynamics · Physics 2021-04-26 Cedric Fraces Gasmi , Hamdi Tchelepi

Diffusing wave spectroscopy (DWS) can be employed as an optical rheology tool with numerous applications for studying the structure, dynamics and linear viscoelastic properties of complex fluids, foams, glasses and gels. To carry out DWS…

Soft Condensed Matter · Physics 2018-11-06 Chi Zhang , Mathias Reufer , Danila Gaudino , Frank Scheffold

In the vicinity of their glass transition, dense colloidal suspensions acquire elastic properties over experimental timescales. We investigate the possibility of a visco-elastic flow instability in curved geometry for such materials. To…

Soft Condensed Matter · Physics 2015-08-21 Alexandre Nicolas , Matthias Fuchs

Simple shear flow can induce flow-aligned chain formation of particles suspended in viscoelastic fluids. Although this phenomenon has been reported for decades, direct {\it in situ} measurements of the alignment dynamics and particle…

Linear-dichroism is an important tool to characterize the transmission matrix and determine the crystal or orbital orientation in a material. In order to gain high resolution mapping of the transmission properties of such materials, we…

Optics · Physics 2020-02-12 Huibin Chang , Matthew A Marcus , Stefano Marchesini

Stochastic processes, in the form of stochastic differential equations (SDEs), integrate stochastic elements to account for the inherent randomness in sediment particle trajectories in an open-channel turbulent flow. Accordingly, a…

Fluid Dynamics · Physics 2024-02-06 Manotosh Kumbhakar , Christina W. Tsai

An accurate prediction of the translational and rotational motion of particles suspended in a fluid is only possible if a complete set of correlations for the force coefficients of fluid-particle interaction is known. The present study is…

Fluid Dynamics · Physics 2020-09-24 Martyna Minakowska , Thomas Richter , Sebastian Sager

Microfluidic channels are integral to biomedical technology and process engineering, offering versatility in handling fluids with complex properties, often a combination of viscous and elastic attributes. Despite significant advancements in…

Soft Condensed Matter · Physics 2025-09-29 Sampad Laha , Siddhartha Mukherjee , Suman Chakraborty

The alignment, ordering and rotation of elongated granular particles was studied in shear flow. The time evolution of the orientation of a large number of particles was monitored in laboratory experiments by particle tracking using optical…

The problem of leak detection in a pipeline with nonlinear friction is considered. A distributed observer-based method is proposed which applies a linearised, distributed adaptive observer design to the nonlinear model. The methodology is…

Systems and Control · Electrical Eng. & Systems 2025-03-28 Nils Christian Aars Wilhelmsen , Ole Morten Aamo

Dense particulate suspensions often exhibit a dramatic increase in viscosity in response to external deformation. This shear thickening behavior has been related to a transition from lubricated, unconstrained pairwise motion to a frictional…

Soft Condensed Matter · Physics 2025-05-30 Shweta Sharma , Abhishek Sharma , Abhinendra Singh

Evolution equations for the orientation distribution of axisymmetric particles in periodic flows are derived in the regime of small but non-zero Brownian rotations. The equations are based on a multiple time scale approach that allows fast…

Fluid Dynamics · Physics 2009-11-11 Piero Olla

We provide a complete pipeline for the detection of patterns of interest in an image. In our approach, the patterns are assumed to be adequately modeled by a known template, and are located at unknown positions and orientations that we aim…

Image and Video Processing · Electrical Eng. & Systems 2021-04-15 Julien Fageot , Virginie Uhlmann , Zsuzsanna Püspöki , Benjamin Beck , Michael Unser , Adrien Depeursinge

As most mathematically justifiable Lagrangian coherent structure detection methods rely on spatial derivatives, their applicability to sparse trajectory data has been limited. For experimental fluid dynamicists and natural scientists…

Fluid Dynamics · Physics 2024-11-20 Nikolas O. Aksamit , Alex P. Encinas-Bartos , George Haller , David E. Rival

We have developed a lab work module where we teach undergraduate students how to quantify the dynamics of a suspension of microscopic particles, measuring and analyzing the motion of those particles at the individual level or as a group.…

Soft Condensed Matter · Physics 2016-02-23 David Germain , Mathieu Leocmach , Thomas Gibaud

Understanding the rheology of colloidal suspensions is crucial in the formulation of a wide selection of industry-relevant products. To characterise the viscoelastic behaviour of these soft materials, one can analyse the microscopic…

Soft Condensed Matter · Physics 2021-07-22 Fabián A. García Daza , Antonio M. Puertas , Alejandro Cuetos , Alessandro Patti

In this paper three different approaches towards a continuum theory of fiber suspensions are discussed. The first one is the classical Thermodynamics of Irreversible Processes with internal variables. It derives constitutive equations for…

Materials Science · Physics 2007-05-23 C. Papenfuss , J. Verhas , W. Muschik

Accurate detection and analysis of traces of persistent organic pollutants in water is important in many areas, including environmental monitoring and food quality control, due to their long environmental stability and potential…

Machine Learning · Computer Science 2024-02-02 Vishnu Jayaprakash , Jae Bem You , Chiranjeevi Kanike , Jinfeng Liu , Christopher McCallum , Xuehua Zhang

Leakages in drinking water distribution networks pose significant challenges to water utilities, leading to infrastructure failure, operational disruptions, environmental hazards, property damage, and economic losses. The timely…

Machine Learning · Computer Science 2023-09-07 Ivo Daniel , Andrea Cominola

Elastic deformation due to embedded fluidic networks is currently studied in the context of soft-actuators and soft-robotic applications. In this work, we analyze interaction between the elastic deflection of a slender beam and viscous flow…

Fluid Dynamics · Physics 2015-11-19 Yoav Matia , Amir D. Gat