article · Journal of the Science of Food and Agriculture

Artificial neural network modeling in predicting thermal performance and assessment of quality parameters during graphene‐based far‐infrared drying

Abdulaziz Nuhu JIBRIL
Jichao Huang
Zaharaddeen Aminu Bello
Yan Shiwei
Wang Jiuyuan
Jingcheng Xi
Kunjie Chen

2026Bayero University Kano

Abstract

This study highlights the potential of cutting-edge computational tools to enhance energy efficiency through graphene-based heating without compromising product quality. © 2026 Society of Chemical Industry.

Research topics

Thermal properties of materials
Food Drying and Modeling
Process Optimization and Integration

Sustainable Development Goals

Affordable and Clean Energy

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DOI: 10.1002/jsfa.70549

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