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Papers
2009.01658
Cited By

Learning Unknown Physics of non-Newtonian Fluids

Learning Unknown Physics of non-Newtonian Fluids

Physical Review Fluids (Phys. Rev. Fluids), 2020

26 August 2020

Amanda A. Howard

ArXiv (abs)PDF HTML

Papers citing "Learning Unknown Physics of non-Newtonian Fluids"

11 / 11 papers shown

A Tutorial on the Use of Physics-Informed Neural Networks to Compute the
Spectrum of Quantum Systems

A Tutorial on the Use of Physics-Informed Neural Networks to Compute the Spectrum of Quantum Systems

Antonio Mandarino

201

10

0

30 Jul 2024

Residual-based Attention Physics-informed Neural Networks for Efficient
Spatio-Temporal Lifetime Assessment of Transformers Operated in Renewable
Power Plants

Residual-based Attention Physics-informed Neural Networks for Efficient Spatio-Temporal Lifetime Assessment of Transformers Operated in Renewable Power Plants

Kateryna Morozovska

147

0

0

10 May 2024

A Generative Modeling Framework for Inferring Families of Biomechanical
Constitutive Laws in Data-Sparse Regimes

A Generative Modeling Framework for Inferring Families of Biomechanical Constitutive Laws in Data-Sparse RegimesJournal of the mechanics and physics of solids (JMPS), 2023

George Karniadakis

SyDa MedIm AI4CE

279

12

0

04 May 2023

Disorder-invariant Implicit Neural Representation

Disorder-invariant Implicit Neural RepresentationIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023

Zhan Ma

Xun Cao

275

34

0

03 Apr 2023

DINER: Disorder-Invariant Implicit Neural Representation

DINER: Disorder-Invariant Implicit Neural RepresentationComputer Vision and Pattern Recognition (CVPR), 2022

Xun Cao

Zhan Ma

223

48

0

15 Nov 2022

Constitutive model characterization and discovery using physics-informed
deep learning

Constitutive model characterization and discovery using physics-informed deep learningEngineering applications of artificial intelligence (EAAI), 2022

392

79

0

18 Mar 2022

Physics-informed neural network solution of thermo-hydro-mechanical
(THM) processes in porous media

Physics-informed neural network solution of thermo-hydro-mechanical (THM) processes in porous mediaJournal of engineering mechanics (J. Eng. Mech.), 2022

281

35

0

03 Mar 2022

Physics-informed neural networks for non-Newtonian fluid
thermo-mechanical problems: an application to rubber calendering process

Physics-informed neural networks for non-Newtonian fluid thermo-mechanical problems: an application to rubber calendering processEngineering applications of artificial intelligence (EAAI), 2022

Thi Nguyen Khoa Nguyen

Raphael Meunier

Mathilde Mougeot

367

39

0

31 Jan 2022

Physics-informed neural network simulation of multiphase poroelasticity
using stress-split sequential training

Physics-informed neural network simulation of multiphase poroelasticity using stress-split sequential training

332

140

0

06 Oct 2021

Physics-constrained deep neural network method for estimating parameters
in a redox flow battery

Physics-constrained deep neural network method for estimating parameters in a redox flow batteryJournal of Power Sources (J Power Sources), 2021

225

43

0

21 Jun 2021

On the eigenvector bias of Fourier feature networks: From regression to
solving multi-scale PDEs with physics-informed neural networks

On the eigenvector bias of Fourier feature networks: From regression to solving multi-scale PDEs with physics-informed neural networks

534

676

0

18 Dec 2020

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