Exploring the microstructure–property relationship in polymer foams using advanced statistical methods, machine learning and deep learning: A review-Reference-Cited by-同舟云学术

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Exploring the microstructure–property relationship in polymer foams using advanced statistical methods, machine learning and deep learning: A review

Published:2025-06 Issue: Volume:256 Page:113909
ISSN:0927-0256
Container-title:Computational Materials Science
language:en
Short-container-title:Computational Materials Science

Author:

Walicki Dawid^ORCID,Zawistowski Paweł^ORCID,Ryszkowska Joanna

Publisher

Elsevier BV

Reference86 articles.

1. Polymer Foam Market Size, Share & Trends Report, 2030,2024

2. Ceramic Foams Market Size,2024

3. Global Metal Foam Market Research Report,2024

4. Characteristics and properties of porous materials;Gladysz,2021

5. Microcellular and nanocellular solid-state polyetherimide (PEI) foams using sub-critical carbon dioxide II. Tensile and impact properties;Miller;Polymer,2011

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1. Self-skinning polyurethane composites: Fatigue durability and thermomechanical degeneration mechanisms;International Journal of Mechanical Sciences;2025-08

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