通过 X 射线衍射分析对注塑聚丙烯机械性能进行机器学习预测

IF 7.4 3区材料科学 Q1 MATERIALS SCIENCE, MULTIDISCIPLINARY Science and Technology of Advanced Materials Pub Date : 2024-08-05 DOI:10.1080/14686996.2024.2388016

Ryo Tamura, Kenji Nagata, Keitaro Sodeyama, Kensaku Nakamura, Toshiki Tokuhira, Satoshi Shibata, Kazuki Hammura, Hiroki Sugisawa, Masaya Kawamura, Teruki Tsurimoto, Masanobu Naito, Masahiko Demura, Takashi Nakanishi

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引用次数: 0

摘要

利用机器学习预测聚合物材料的机械性能对于设计下一代聚合物至关重要。然而，高分子材料的高阶机械性能和低阶机械性能之间的密切关系，对高分子材料的机械性能预测至关重要。

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Machine learning prediction of the mechanical properties of injection-molded polypropylene through X-ray diffraction analysis

Predicting the mechanical properties of polymer materials using machine learning is essential for the design of next-generation of polymers. However, the strong relationship between the higher-orde...

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来源期刊

Science and Technology of Advanced Materials 工程技术-材料科学：综合

CiteScore

10.60

自引率

3.60%

发文量

审稿时长

4.8 months

期刊介绍： Science and Technology of Advanced Materials (STAM) is a leading open access, international journal for outstanding research articles across all aspects of materials science. Our audience is the international community across the disciplines of materials science, physics, chemistry, biology as well as engineering. The journal covers a broad spectrum of topics including functional and structural materials, synthesis and processing, theoretical analyses, characterization and properties of materials. Emphasis is placed on the interdisciplinary nature of materials science and issues at the forefront of the field, such as energy and environmental issues, as well as medical and bioengineering applications. Of particular interest are research papers on the following topics: Materials informatics and materials genomics Materials for 3D printing and additive manufacturing Nanostructured/nanoscale materials and nanodevices Bio-inspired, biomedical, and biological materials; nanomedicine, and novel technologies for clinical and medical applications Materials for energy and environment, next-generation photovoltaics, and green technologies Advanced structural materials, materials for extreme conditions.