Understanding creep suppression mechanisms in polymer nanocomposites through machine learning-Reference-Cited by-同舟云学术

Understanding creep suppression mechanisms in polymer nanocomposites through machine learning

Published:2023 Issue:39 Volume:19 Page:7580-7590
ISSN:1744-683X
Container-title:Soft Matter
language:en
Short-container-title:Soft Matter

Author:

Yang Entao¹^ORCID,Pressly James F.²^ORCID,Natarajan Bharath³,Colby Robert³,Winey Karen I.¹²^ORCID,Riggleman Robert A.¹^ORCID

Affiliation:

1. Department of Chemical & Biomolecular Engineering, University of Pennsylvania, Philadelphia, PA 19104, USA

2. Department of Materials Science & Engineering, University of Pennsylvania, Philadelphia, PA 19104, USA

3. ExxonMobil Technology and Engineering Company, Annandale, NJ 08801, USA

Abstract

Two independent processes govern polymer dynamics in polymer nanocomposites under creep deformation.

Funder

ExxonMobil Research and Engineering Company

Army Research Office

Basic Energy Sciences

National Science Foundation

Publisher

Royal Society of Chemistry (RSC)

Subject

Condensed Matter Physics,General Chemistry

Link

http://pubs.rsc.org/en/content/articlepdf/2023/SM/D3SM00898C

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