Detail publikačního výsledku

Dielectric Property Analysis in Nanocomposite Materials: Toward Reproducible Application Mapping and Machine-Learning Integration

Malek Ali, Ammar Alsoud, Yusof A.Y.A. Mohammed, Samer I. Daradkeh, Marwan S. Mousa, Pavla Eliášová, Alexandr Knápek, Dinara Sobola, Roman Maršálek,

Originální název

Dielectric Property Analysis in Nanocomposite Materials: Toward Reproducible Application Mapping and Machine-Learning Integration

Anglický název

Dielectric Property Analysis in Nanocomposite Materials: Toward Reproducible Application Mapping and Machine-Learning Integration

Druh

Článek WoS

Originální abstrakt

The paper presents an automated framework for analyzing dielectric properties in composite materials. It introduces a data-driven and physics-informed workflow that processes broadband dielectric spectroscopy data to generate reproducible application maps. The study integrates machine learning techniques to enhance data interpretation, reduce user-dependent variability, and improve consistency in property evaluation. The proposed method enables systematic extraction of complex dielectric behavior and links material structure with potential applications, offering a more reliable and scalable approach for materials characterization and design.

Anglický abstrakt

The paper presents an automated framework for analyzing dielectric properties in composite materials. It introduces a data-driven and physics-informed workflow that processes broadband dielectric spectroscopy data to generate reproducible application maps. The study integrates machine learning techniques to enhance data interpretation, reduce user-dependent variability, and improve consistency in property evaluation. The proposed method enables systematic extraction of complex dielectric behavior and links material structure with potential applications, offering a more reliable and scalable approach for materials characterization and design.

Klíčová slova

: Dielectric spectroscopy Automated analysis Polymer composites Machine learning Reproducibility Materials informatics

Klíčová slova v angličtině

: Dielectric spectroscopy Automated analysis Polymer composites Machine learning Reproducibility Materials informatics

Autoři

Malek Ali, Ammar Alsoud, Yusof A.Y.A. Mohammed, Samer I. Daradkeh, Marwan S. Mousa, Pavla Eliášová, Alexandr Knápek, Dinara Sobola, Roman Maršálek,

Vydáno

06.02.2026

Nakladatel

Elsevier B.V.

Periodikum

Results in Engineering

Svazek

29

Číslo

1

Stát

Nizozemsko

Strany od

1

Strany do

15

Strany počet

15

URL

https://www.sciencedirect.com/science/article/pii/S2590123026004871?via%3Dihub

BibTex

@article{BUT201825,
  author="{} and Malek Abdulmalek Ahmed {Ali} and Ammar Awadallah Ahmad {Alsoud} and Yusof Abdulhakim {Mohammed} and Samer Issa Abdel Razzaq {Daradkeh} and Dinara {Sobola} and Roman {Maršálek}",
  title="Dielectric Property Analysis in Nanocomposite Materials: Toward Reproducible Application Mapping and Machine-Learning Integration",
  journal="Results in Engineering",
  year="2026",
  volume="29",
  number="1",
  pages="1--15",
  doi="10.1016/j.rineng.2026.109447",
  issn="2590-1230",
  url="https://www.sciencedirect.com/science/article/pii/S2590123026004871?via%3Dihub"
}