Predicting the early-stage creep dynamics of gels from their static structure by machine learning-Reference-Cited by-同舟云学术

Predicting the early-stage creep dynamics of gels from their static structure by machine learning

Published:2021-05 Issue: Volume:210 Page:116817
ISSN:1359-6454
Container-title:Acta Materialia
language:en
Short-container-title:Acta Materialia

Author:

Liu Han^ORCID,Xiao Siqi,Tang Longwen,Bao Enigma,Li Emily,Yang Caroline^ORCID,Zhao Zhangji,Sant Gaurav,Smedskjaer Morten M.^ORCID,Guo Lijie,Bauchy Mathieu^ORCID

Funder

NSF

Publisher

Elsevier BV

Subject

Metals and Alloys,Polymers and Plastics,Ceramics and Composites,Electronic, Optical and Magnetic Materials

Reference52 articles.

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4. Creep of Crystals: High-Temperature Deformation Processes in Metals, Ceramics and Minerals;Poirier,1985

5. Creep and Relaxation of Nonlinear Viscoelastic Materials, Courier Corporation;Findley,2013

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