nn-PINNs: Non-Newtonian physics-informed neural networks for complex fluid modeling

StressGAN: A Generative Deep Learning Model for 2D Stress Distribution Prediction

(2021) Haoliang Jiang et al.   JOURNAL OF APPLIED MECHANICS-TRANSACTIONS OF THE ASME

Learning constitutive relations using symmetric positive definite neural networks

(2021) Kailai Xu et al.   JOURNAL OF COMPUTATIONAL PHYSICS

Data-driven physics-informed constitutive metamodeling of complex fluids: A multifidelity neural network (MFNN) framework

(2021) Mohammadamin Mahmoudabadbozchelou et al.   JOURNAL OF RHEOLOGY

Physics-Informed Neural Networks for Heat Transfer Problems

(2021) Shengze Cai et al.   JOURNAL OF HEAT TRANSFER-TRANSACTIONS OF THE ASME

Machine learning–accelerated computational fluid dynamics

(2021) Dmitrii Kochkov et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Data-driven identification of 2D Partial Differential Equations using extracted physical features

(2021) Kazem Meidani et al.   COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING

Rheology-Informed Neural Networks (RhINNs) for forward and inverse metamodelling of complex fluids

(2021) Mohammadamin Mahmoudabadbozchelou et al.   Scientific Reports

Solving inverse problems in stochastic models using deep neural networks and adversarial training

(2021) Kailai Xu et al.   COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING

Deep learning for reduced order modelling and efficient temporal evolution of fluid simulations

(2021) Pranshu Pant et al.   PHYSICS OF FLUIDS

Variations of the Herschel–Bulkley exponent reflecting contributions of the viscous continuous phase to the shear rate-dependent stress of soft glassy materials

(2020) Marco Caggioni et al.   JOURNAL OF RHEOLOGY

Possibilities and Limits of Computational Fluid Dynamics–Discrete Element Method Simulations in Process Engineering: A Review of Recent Advancements and Future Trends

(2020) Paul Kieckhefen et al.   Annual Review of Chemical and Biomolecular Engineering

CFD-based reduced-order modeling of fluidized-bed biomass fast pyrolysis using artificial neural network

(2020) Hanbin Zhong et al.   RENEWABLE ENERGY

PPINN: Parareal physics-informed neural network for time-dependent PDEs

(2020) Xuhui Meng et al.   COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING

NSFnets (Navier-Stokes flow nets): Physics-informed neural networks for the incompressible Navier-Stokes equations

(2020) Xiaowei Jin et al.   JOURNAL OF COMPUTATIONAL PHYSICS

A review of thixotropy and its rheological modeling

(2019) Ronald G. Larson et al.   JOURNAL OF RHEOLOGY

Machine Learning for Fluid Mechanics

(2019) Steven L. Brunton et al.   Annual Review of Fluid Mechanics

Non-Newtonian fluid flow dynamics in rotating annular media: Physics-based and data-driven modeling

(2019) Reza Ershadnia et al.   JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING

Physics-informed neural networks for high-speed flows

(2019) Zhiping Mao et al.   COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING

Multiscale Nature of Thixotropy and Rheological Hysteresis in Attractive Colloidal Suspensions under Shear

(2019) Safa Jamali et al.   PHYSICAL REVIEW LETTERS

A multimode structural kinetics constitutive equation for the transient rheology of thixotropic elasto-viscoplastic fluids

(2018) Yufei Wei et al.   JOURNAL OF RHEOLOGY

Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations

(2018) M. Raissi et al.   JOURNAL OF COMPUTATIONAL PHYSICS

Thermokinematic memory and the thixotropic elasto-viscoplasticity of waxy crude oils

(2017) Michela Geri et al.   JOURNAL OF RHEOLOGY

Microstructural Rearrangements and their Rheological Implications in a Model Thixotropic Elastoviscoplastic Fluid

(2017) Safa Jamali et al.   PHYSICAL REVIEW LETTERS

Yield stress materials in soft condensed matter

(2017) Daniel Bonn et al.   REVIEWS OF MODERN PHYSICS

Mapping thixo-elasto-visco-plastic behavior

(2017) Randy H. Ewoldt et al.   RHEOLOGICA ACTA

Understanding rheological hysteresis in soft glassy materials

(2017) Rangarajan Radhakrishnan et al.   Soft Matter

The glass and jamming transitions of soft polyelectrolyte microgel suspensions

(2016) Charlotte Pellet et al.   Soft Matter

Microstructure and rheology relationships for shear thickening colloidal dispersions

(2015) A. Kate Gurnon et al.   JOURNAL OF FLUID MECHANICS

Constitutive equations for thixotropic fluids

(2015) R. G. Larson   JOURNAL OF RHEOLOGY

Yield stress fluid flows: A review of experimental data

(2014) P. Coussot   JOURNAL OF NON-NEWTONIAN FLUID MECHANICS

A comprehensive constitutive law for waxy crude oil: a thixotropic yield stress fluid

(2014) Christopher J. Dimitriou et al.   Soft Matter

Rheological Hysteresis in Soft Glassy Materials

(2013) Thibaut Divoux et al.   PHYSICAL REVIEW LETTERS

A critical overview of elasto-viscoplastic thixotropic modeling

(2012) Paulo R. de Souza Mendes et al.   JOURNAL OF NON-NEWTONIAN FLUID MECHANICS

Direct comparison of the rheology of model hard and soft particle glasses

(2012) N. Koumakis et al.   Soft Matter

A review of nonlinear oscillatory shear tests: Analysis and application of large amplitude oscillatory shear (LAOS)

(2011) Kyu Hyun et al.   PROGRESS IN POLYMER SCIENCE

Flow-induced structure in colloidal gels: direct visualization of model 2D suspensions

(2011) K. Masschaele et al.   Soft Matter

Thixotropic elasto-viscoplastic model for structured fluids

(2011) Paulo R. de Souza Mendes   Soft Matter

Shear thickening in colloidal dispersions

(2009) Norman J. Wagner et al.   PHYSICS TODAY

New measures for characterizing nonlinear viscoelasticity in large amplitude oscillatory shear

(2008) Randy H. Ewoldt et al.   JOURNAL OF RHEOLOGY

Aging, Yielding, and Shear Banding in Soft Colloidal Glasses

(2008) S. A. Rogers et al.   PHYSICAL REVIEW LETTERS

Data-driven modelling: some past experiences and new approaches

(2007) Dimitri P. Solomatine et al.   JOURNAL OF HYDROINFORMATICS