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Tailoring Thermophysical Properties and Multiscale Machine Learning Modeling of 2D Nanomaterial-Infused Beeswax as a Green NePCM for Sustainable Thermal Management Systems

Abdullah Aziz Shoaib Anwer Eiyad Abu-Nada Anas Alazzam

Energy & Environmental Materials2026，Vol.9Issue(3)：P.440-454,15.

Energy & Environmental Materials2026，Vol.9Issue(3)：P.440-454,15.DOI:10.1002/eem2.70194

Tailoring Thermophysical Properties and Multiscale Machine Learning Modeling of 2D Nanomaterial-Infused Beeswax as a Green NePCM for Sustainable Thermal Management Systems

Abdullah Aziz ¹Shoaib Anwer ²Eiyad Abu-Nada ²Anas Alazzam¹

作者信息

1. Department of Mechanical&Nuclear Engineering,Khalifa University of Science and Technology,Abu Dhabi 127788,UAE System on Chip Lab,Khalifa University,Abu Dhabi 127788,UAE
2. Department of Mechanical&Nuclear Engineering,Khalifa University of Science and Technology,Abu Dhabi 127788,UAE
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摘要

关键词

2D materials/beeswax/machine learning/NePCM/thermal conductivity model/viscosity model

分类

通用工业技术

引用本文复制引用

Abdullah Aziz,Shoaib Anwer,Eiyad Abu-Nada,Anas Alazzam..Tailoring Thermophysical Properties and Multiscale Machine Learning Modeling of 2D Nanomaterial-Infused Beeswax as a Green NePCM for Sustainable Thermal Management Systems[J].Energy & Environmental Materials,2026,9(3):P.440-454,15.

基金项目

supported by Khalifa University competitive research award,RIG-2023-045,under Grant No.8474000553. （）

Energy & Environmental Materials

ISSN：2575-0348

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