A General Deep Learning Method for Computing Molecular Parameters of a Viscoelastic Constitutive Model by Solving an Inverse Problem

A General Deep Learning Method for Computing Molecular Parameters of a Viscoelastic Constitutive Model by Solving an Inverse Problem

Prediction of molecular parameters and material functions from the macroscopic viscoelastic properties of complex fluids are of great significance for molecular and formulation design in fundamental research as well as various industrial applications. A general learning method for computing molecula...

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Bibliographic Details
Main Authors: Minghui Ye, Yuan-Qi Fan, Xue-Feng Yuan
Format: Article
Language:English
Published: MDPI AG 2023-08-01
Series:Polymers
Subjects:
machine learning
inverse problem
deep neural network
constitutive equation
polymeric fluids
viscoelasticity
Online Access:https://www.mdpi.com/2073-4360/15/17/3592

Internet

https://www.mdpi.com/2073-4360/15/17/3592

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