Physics-informed machine learning integrated with finite-element modeling for microstructure-driven thermal conductivity prediction in epoxy/AlN nanocomposites

Applied Thermal Engineering 2026

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Authors: Behzad Hashemi Soudmand, Saad G. Alshammari, Jaber M. Asiri, Fawwaz Hazzazi, Hassan Zohair Hassan, Ghada Emam Atteia, Amirhossein Najafi
DOI: 10.1016/j.applthermaleng.2026.130396
Cited by: 1
References: 44

Fields of Study & Subjects

Thermal properties of materials Composite Material Mechanics Machine Learning in Materials Science

Publication details

Journal / source
Applied Thermal Engineering
Publisher
Elsevier BV
Volume
292
Pages
130396–130396
Publication date
22 February 2026
Language
EN