Digital rheometer twins: Learning the hidden rheology of complex fluids through rheology-informed graph neural networks

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

(2021) Mohammadamin Mahmoudabadbozchelou et al.   JOURNAL OF RHEOLOGY

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

(2021) Mohammadamin Mahmoudabadbozchelou et al.   Scientific Reports

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

(2021) Pranshu Pant et al.   PHYSICS OF FLUIDS

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

(2021) Mohammadamin Mahmoudabadbozchelou et al.   Soft Matter

Increasing efficiency and accuracy of magnetic interaction calculations in colloidal simulation through machine learning

(2021) Chunzhou Pan et al.   JOURNAL OF COLLOID AND INTERFACE SCIENCE

Expert-augmented machine learning

(2020) Efstathios D. Gennatas et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Hidden fluid mechanics: Learning velocity and pressure fields from flow visualizations

(2020) Maziar Raissi et al.   SCIENCE

Physics-Informed Neural Networks for Cardiac Activation Mapping

(2020) Francisco Sahli Costabal et al.   Frontiers in Physics

A reduced-order variational multiscale interpolating element free Galerkin technique based on proper orthogonal decomposition for solving Navier–Stokes equations coupled with a heat transfer equation: Nonstationary incompressible Boussinesq equations

(2020) Mostafa Abbaszadeh et al.   JOURNAL OF COMPUTATIONAL PHYSICS

Optimal conditions for pre-shearing thixotropic or aging soft materials

(2020) Jiho Choi et al.   RHEOLOGICA ACTA

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

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

Predictive large-eddy-simulation wall modeling via physics-informed neural networks

(2019) X. I. A. Yang et al.   Physical Review Fluids

Issues in Deciding Whether to Use Multifidelity Surrogates

(2019) M. Giselle Fernández-Godino et al.   AIAA JOURNAL

A review of thixotropy and its rheological modeling

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

Quantifying total uncertainty in physics-informed neural networks for solving forward and inverse stochastic problems

(2019) Dongkun Zhang et al.   JOURNAL OF COMPUTATIONAL PHYSICS

Multi-Fidelity Physics-Constrained Neural Network and Its Application in Materials Modeling

(2019) Dehao Liu et al.   JOURNAL OF MECHANICAL DESIGN

Machine Learning for Fluid Mechanics

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

A composite neural network that learns from multi-fidelity data: Application to function approximation and inverse PDE problems

(2019) Xuhui Meng et al.   JOURNAL OF COMPUTATIONAL PHYSICS

Using machine learning to predict extreme events in complex systems

(2019) Di Qi et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

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

Physics-informed machine learning approach for reconstructing Reynolds stress modeling discrepancies based on DNS data

(2017) Jian-Xun Wang et al.   Physical Review Fluids

Quantitative nonlinear thixotropic model with stretched exponential response in transient shear flows

(2016) Yufei Wei et al.   JOURNAL OF RHEOLOGY

Constitutive equations for thixotropic fluids

(2015) R. G. Larson   JOURNAL OF RHEOLOGY

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

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