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All Journal ASEAN Journal for Science and Engineering in Materials
Mihaira H. Haddad
Prince Sattam bin Abdulaziz University
Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering

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MXene-Integrated Perovskite Tandem Solar Cells for Sustainable Development Goals (SDGs): A Bibliometric and Physics-Informed Artificial Intelligence (AI) Analysis Using Graph Neural Networks and Transformer Models Mihaira H. Haddad; Fatima Hassan Mohammed; Khadersab Adamsab
ASEAN Journal for Science and Engineering in Materials Vol 5, No 3 (2026): AJSEM: Volume 5, Issue 3, December 2026
Publisher : Bumi Publikasi Nusantara

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Abstract

This study presents a bibliometric and artificial intelligence (AI) analysis of MXene-integrated perovskite tandem solar cells to support renewable energy innovation and the Sustainable Development Goals (SDGs). A literature-based bibliometric perspective was used to identify research trends in perovskite tandem photovoltaics, MXene materials, and AI-assisted solar cell optimization. A physics-informed computational framework integrating Graph Neural Networks (GNNs) and Transformer models was then developed using 200 photovoltaic samples with 26 material, environmental, and performance variables. The GNN model captured nonlinear material–performance relationships, while the Transformer model predicted retention and degradation behavior under humidity and thermal stress. Feature importance analysis identified MXene loading, conductivity, defect density, and interface quality as dominant factors affecting efficiency and stability.
Co-Authors Fatima Hassan Mohammed Khadersab Adamsab