Performance optimization of shape memory epoxy polymers based on machine learning-Reference-Cited by-同舟云学术

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Performance optimization of shape memory epoxy polymers based on machine learning

Published:2021-12-28 Issue: Volume: Page:
ISSN:1042-7147
Container-title:Polymers for Advanced Technologies
language:en
Short-container-title:Polymers for Advanced Techs

Author:

Liu Bei¹,Jin Kai²,Tao Jie¹³^ORCID,Wang Hao¹,He Dan¹,Li Huaguan⁴

Affiliation:

1. College of Material Science and Technology Nanjing University of Aeronautics and Astronautics Nanjing China

2. College of Material Science and Engineering Ocean University of China Qingdao China

3. Jiangsu Collaborative Innovation Center for Advanced Inorganic Function Composites Nanjing China

4. School of Materials Science and Engineering Nanjing Institute of Technology Nanjing China

Funder

Fundamental Research Funds for the Central Universities

National Basic Research Program of China

National Natural Science Foundation of China

Publisher

Wiley

Subject

Polymers and Plastics

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/pat.5595

Reference51 articles.

1. Development of shape memory alloys;Shuichi M;ISIJ Int,2016

2. Active Cooling of a Microvascular Shape Memory Alloy-Polymer Matrix Composite Hybrid Material

3. Shape memory polymers and their composites in aerospace applications: a review

4. Long-term properties of carbon fiber-reinforced shape memory epoxy/polymer composites exposed to vacuum and ultraviolet radiation

5. Synthesis and characterization of biobased isosorbide-containing copolyesters as shape memory polymers for biomedical applications

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1. Plant phenol-based shape memory polymers;High Performance Plant Phenol-Based Polymers;2024

2. Effects of cross‐linked networks on dielectric properties of epoxy resins based on molecular dynamics;Journal of Applied Polymer Science;2023-12-25

3. Unexpected Thermomechanical Behavior of Off-Stoichiometry Epoxy/Amine Materials;Macromolecules;2023-04-07

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