Work

Learning the constitutive relation of polymeric flows with memory

Year: 2020

Type: article

Abstract: The authors develop a learning strategy to study the relationship between the macroscopic flow properties of polymeric materials and their components. The paper shows how to obtain a constitutive relation from a limited number of small-scale microscopic simulations.

Source: Physical Review Research

DOI: 10.1103/physrevresearch.2.033107

Authors: Naoki Seryo, Takeshi Sato, John J. Molina, Takashi Taniguchi

Institution: Kyoto University

Language: English

Topic: Rheology and Fluid Dynamics Studies

Subfield: Fluid Flow and Transfer Processes

Field: Chemical Engineering

Domain: Physical Sciences

Open Access status: gold

Estimated APC paid: $2,625

Funders: Ogasawara Foundation, Kyoto University, Ogasawara Foundation for the Promotion of Science and Engineering, Japan Society for the Promotion of Science