Research graph
References from Solutions of the Newtonian Plane Couette Flow with Dynamic Wall Slip Using Machine Learning Methods. Local targets link to admitted publications; unresolved targets remain external evidence.
Wall Slip of Molten Polymers
10.1016/j.progpolymsci.2011.09.004 · 2012 · External reference
10.1007/978-3-540-30299-5
10.1007/978-3-540-30299-5 · External reference
Applying Machine Learning to Study Fluid Mechanics
10.1007/s10409-021-01143-6 · 2021 · External reference
Unresolved reference
External reference
Recent Progress of Machine Learning in Flow Modeling and Active Flow Control
10.1016/j.cja.2021.07.027 · 2022 · External reference
Integrating Supervised Learning and Applied Computational Multi-Fluid Dynamics
10.1016/j.ijmultiphaseflow.2022.104221 · 2022 · External reference
A Generalized Framework for Integrating Machine Learning into Computational Fluid Dynamics
10.1016/j.jocs.2024.102404 · 2024 · External reference
Data-Driven Prediction of Wave Response for a Modular Floating Solar Array
10.1016/j.oceaneng.2026.124192 · 2026 · External reference
Physics-Informed Neural Networks: A Deep Learning Framework for Solving Forward and Inverse Problems Involving Nonlinear Partial Differential Equations
10.1016/j.jcp.2018.10.045 · 2019 · External reference
Physics-Informed Neural Networks (PINNs) for Fluid Mechanics: A Review
10.1007/s10409-021-01148-1 · 2021 · External reference
LSTM-PINN: An Hybrid Method for Prediction of Steady-State Electrohydrodynamic Flow
10.1016/j.jcp.2025.114586 · 2026 · External reference
Physics-Informed Machine Learning across Manufacturing Processes: Recent Advances, Challenges, and Directions
10.1016/j.jmsy.2026.01.002 · 2026 · External reference
Neural Operator: Learning Maps between Function Spaces with Applications to Pdes
2023 · External reference
An Architectural Analysis of DeepOnet and a General Extension of the Physics-Informed DeepOnet Model on Solving Nonlinear Parametric Partial Differential Equations
10.1016/j.neucom.2024.128675 · 2025 · External reference
Multi-Head Neural Operator for Modelling Interfacial Dynamics
10.1016/j.ijmecsci.2026.111363 · 2026 · External reference
Learning Nonlinear Operators via DeepONet Based on the Universal Approximation Theorem of Operators
10.1038/s42256-021-00302-5 · 2021 · External reference
Learning the Solution Operator of Parametric Partial Differential Equations with Physics-Informed DeepONets
10.1126/sciadv.abi8605 · 2021 · External reference
Data-Driven and Physics-Informed Deep Learning Operators for Solution of Heat Conduction Equation with Parametric Heat Source
10.1016/j.ijheatmasstransfer.2022.123809 · 2023 · External reference
Unresolved reference
External reference
Physics-Informed Artificial Intelligence with Splines for Modeling Advection–Diffusion–Reaction under Dynamic Boundaries
10.1016/j.dte.2025.100083 · 2026 · External reference
Extrusion Instabilities and Wall Slip
10.1146/annurev.fluid.33.1.265 · 2001 · External reference
Wall Slip for Complex Liquids–Phenomenon and Its Causes
10.1016/j.cis.2018.05.008 · 2018 · External reference
Boundary Slip in Newtonian Liquids: A Review of Experimental Studies
10.1088/0034-4885/68/12/r05 · 2005 · External reference
Apparent Slip in Colloidal Suspensions
10.1122/8.0000302 · 2022 · External reference
Slip Mechanisms in Complex Fluid Flows
10.1039/c5sm01711d · 2015 · External reference
Mémoire Sur Les Lois Du Mouvement Des Fluides
1823 · External reference
Unresolved reference
External reference
A Dynamic Slip Velocity Model for Molten Polymers Based on a Network Kinetic Theory
10.1007/bf00453462 · 1994 · External reference
Dynamic Slip of Polydisperse Linear Polymers Using Partitioned Plate
10.1063/1.4989934 · 2018 · External reference
Analysis of Boundary Slip in a Flow with an Oscillating Wall
10.1103/physreve.87.033018 · 2013 · External reference
Relaxation Effects of Slip in Shear Flow of Linear Molten Polymers
10.1007/s00397-009-0416-2 · 2010 · External reference
Start-up and Cessation Newtonian Poiseuille and Couette Flows with Dynamic Wall Slip
10.1007/s11012-015-0127-y · 2015 · External reference
Newtonian Annular Poiseuille and Couette Flows with Dynamic Wall Slip
10.1016/j.euromechflu.2023.10.001 · 2024 · External reference
Transient Newtonian Poiseuille Flow in a Square Channel with Dynamic Wall Slip
10.1063/5.0253131 · 2025 · External reference
10.3390/fluids9080172
10.3390/fluids9080172 · External reference
Unresolved reference
External reference
On the Limited Memory BFGS Method for Large Scale Optimization
10.1007/bf01589116 · 1989 · External reference
Neural Network Method for Solving Parabolic Two-Temperature Microscale Heat Conduction in Double-Layered Thin Films Exposed to Ultrashort-Pulsed Lasers
10.1016/j.ijheatmasstransfer.2021.121616 · 2021 · External reference
Modeling Interacting Convection Regimes with PINNs: Improving Vanilla Architecture Performance with Minimal Supervision
10.1016/j.icheatmasstransfer.2026.110763 · 2026 · External reference
Unresolved reference
External reference
10.7551/mitpress/3206.001.0001
10.7551/mitpress/3206.001.0001 · External reference
Unresolved reference
External reference
Unresolved reference
External reference
Unresolved reference
External reference
Yield–Stress Shear Thinning and Shear Thickening Fluid Flows in Deformable Channels
10.1088/1402-4896/ad2898 · 2024 · External reference
10.1007/978-3-540-30299-5
10.1007/978-3-540-30299-5 · ExternalCitation · doi-reference
A Dynamic Slip Velocity Model for Molten Polymers Based on a Network Kinetic Theory
10.1007/bf00453462 · ExternalCitation · doi-reference
On the Limited Memory BFGS Method for Large Scale Optimization
10.1007/bf01589116 · ExternalCitation · doi-reference
Relaxation Effects of Slip in Shear Flow of Linear Molten Polymers
10.1007/s00397-009-0416-2 · ExternalCitation · doi-reference
Applying Machine Learning to Study Fluid Mechanics
10.1007/s10409-021-01143-6 · ExternalCitation · doi-reference
Physics-Informed Neural Networks (PINNs) for Fluid Mechanics: A Review
10.1007/s10409-021-01148-1 · ExternalCitation · doi-reference
Start-up and Cessation Newtonian Poiseuille and Couette Flows with Dynamic Wall Slip
10.1007/s11012-015-0127-y · ExternalCitation · doi-reference
Wall Slip for Complex Liquids–Phenomenon and Its Causes
10.1016/j.cis.2018.05.008 · ExternalCitation · doi-reference
Recent Progress of Machine Learning in Flow Modeling and Active Flow Control
10.1016/j.cja.2021.07.027 · ExternalCitation · doi-reference
Physics-Informed Artificial Intelligence with Splines for Modeling Advection–Diffusion–Reaction under Dynamic Boundaries
10.1016/j.dte.2025.100083 · ExternalCitation · doi-reference
Newtonian Annular Poiseuille and Couette Flows with Dynamic Wall Slip
10.1016/j.euromechflu.2023.10.001 · ExternalCitation · doi-reference
Modeling Interacting Convection Regimes with PINNs: Improving Vanilla Architecture Performance with Minimal Supervision
10.1016/j.icheatmasstransfer.2026.110763 · ExternalCitation · doi-reference
Neural Network Method for Solving Parabolic Two-Temperature Microscale Heat Conduction in Double-Layered Thin Films Exposed to Ultrashort-Pulsed Lasers
10.1016/j.ijheatmasstransfer.2021.121616 · ExternalCitation · doi-reference
Data-Driven and Physics-Informed Deep Learning Operators for Solution of Heat Conduction Equation with Parametric Heat Source
10.1016/j.ijheatmasstransfer.2022.123809 · ExternalCitation · doi-reference
Multi-Head Neural Operator for Modelling Interfacial Dynamics
10.1016/j.ijmecsci.2026.111363 · ExternalCitation · doi-reference
Integrating Supervised Learning and Applied Computational Multi-Fluid Dynamics
10.1016/j.ijmultiphaseflow.2022.104221 · ExternalCitation · doi-reference
Physics-Informed Neural Networks: A Deep Learning Framework for Solving Forward and Inverse Problems Involving Nonlinear Partial Differential Equations
10.1016/j.jcp.2018.10.045 · ExternalCitation · doi-reference
LSTM-PINN: An Hybrid Method for Prediction of Steady-State Electrohydrodynamic Flow
10.1016/j.jcp.2025.114586 · ExternalCitation · doi-reference
Physics-Informed Machine Learning across Manufacturing Processes: Recent Advances, Challenges, and Directions
10.1016/j.jmsy.2026.01.002 · ExternalCitation · doi-reference
A Generalized Framework for Integrating Machine Learning into Computational Fluid Dynamics
10.1016/j.jocs.2024.102404 · ExternalCitation · doi-reference
An Architectural Analysis of DeepOnet and a General Extension of the Physics-Informed DeepOnet Model on Solving Nonlinear Parametric Partial Differential Equations
10.1016/j.neucom.2024.128675 · ExternalCitation · doi-reference
Data-Driven Prediction of Wave Response for a Modular Floating Solar Array
10.1016/j.oceaneng.2026.124192 · ExternalCitation · doi-reference
Wall Slip of Molten Polymers
10.1016/j.progpolymsci.2011.09.004 · ExternalCitation · doi-reference
Learning Nonlinear Operators via DeepONet Based on the Universal Approximation Theorem of Operators
10.1038/s42256-021-00302-5 · ExternalCitation · doi-reference
Slip Mechanisms in Complex Fluid Flows
10.1039/c5sm01711d · ExternalCitation · doi-reference
Dynamic Slip of Polydisperse Linear Polymers Using Partitioned Plate
10.1063/1.4989934 · ExternalCitation · doi-reference
Transient Newtonian Poiseuille Flow in a Square Channel with Dynamic Wall Slip
10.1063/5.0253131 · ExternalCitation · doi-reference
Boundary Slip in Newtonian Liquids: A Review of Experimental Studies
10.1088/0034-4885/68/12/r05 · ExternalCitation · doi-reference
Yield–Stress Shear Thinning and Shear Thickening Fluid Flows in Deformable Channels
10.1088/1402-4896/ad2898 · ExternalCitation · doi-reference
Analysis of Boundary Slip in a Flow with an Oscillating Wall
10.1103/physreve.87.033018 · ExternalCitation · doi-reference
Apparent Slip in Colloidal Suspensions
10.1122/8.0000302 · ExternalCitation · doi-reference
Learning the Solution Operator of Parametric Partial Differential Equations with Physics-Informed DeepONets
10.1126/sciadv.abi8605 · ExternalCitation · doi-reference
Extrusion Instabilities and Wall Slip
10.1146/annurev.fluid.33.1.265 · ExternalCitation · doi-reference
10.3390/fluids9080172
10.3390/fluids9080172 · ExternalCitation · doi-reference
10.7551/mitpress/3206.001.0001
10.7551/mitpress/3206.001.0001 · ExternalCitation · doi-reference
