Machine learning of lubrication correction based on GPR for the coupled DPD–DEM simulation of colloidal suspensions-Reference-Cited by-同舟云学术

Machine learning of lubrication correction based on GPR for the coupled DPD–DEM simulation of colloidal suspensions

Published:2021 Issue:23 Volume:17 Page:5682-5699
ISSN:1744-683X
Container-title:Soft Matter
language:en
Short-container-title:Soft Matter

Author:

Wang Yi¹²³⁴,Ouyang Jie¹²³⁴,Wang Xiaodong¹²³⁴^ORCID

Affiliation:

1. School of Mathematics and Statistics

2. Northwestern Polytechnical University

3. Xi’an 710129

4. China

Abstract

Hydrodynamic interactions have a major impact on the suspension properties, but they are absent in atomic and molecular fluids due to a lack of intervening medium at close range.

Funder

National Natural Science Foundation of China

Major Research Plan

Publisher

Royal Society of Chemistry (RSC)

Subject

Condensed Matter Physics,General Chemistry

Link

http://pubs.rsc.org/en/content/articlepdf/2021/SM/D1SM00250C

Reference86 articles.

1. Shear thickening in colloidal dispersions

2. Smectic Phase in a Colloidal Suspension of Semiflexible Virus Particles

3. Imaging the Microscopic Structure of Shear Thinning and Thickening Colloidal Suspensions

4. Yield of reversible colloidal gels during flow start-up: release from kinetic arrest

5. Shear thickening fluids in protective applications: A review

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