Amir Reza Hanifi

University of Alberta — Canada

Materials Science · Physical Sciences

27h-index2.1kcitations81works8.02yr avg
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Research Topics

Advancements in Solid Oxide Fuel Cells(44), Fuel Cells and Related Materials(26), Electronic and Structural Properties of Oxides(20), Electrocatalysts for Energy Conversion(16), Advanced ceramic materials synthesis(15)

Publications81 total

A parallel Seq2Seq neural architecture for long-horizon performance forecasting and online condition monitoring of fuel cells
Applied Soft Computing·2025Open Access
Dynamic Kolmogorov–Arnold networks for time-varying degradation modeling in solid oxide fuel cells
Advanced Engineering Informatics·2025Open Access
State-of-health forecasting of solid oxide fuel cells using physics-informed temporal graph convolutional network
Journal of Power Sources·2025Open Access
Comparative techno-economic assessment of solid oxide fuel cells versus hydrogen-fueled internal combustion engines for institutional energy management
Fuel·2025· 7 citedOpen Access
A deep Conv-Atten-KAN architecture to identify solid oxide fuel cell dynamics under fuel starvation
2025
A comparative techno-economic assessment between solar-based hydrogen production by methane pyrolysis and water electrolysis methods
Renewable Energy·2025· 23 cited
Transfer learning-based deep neural network model for performance prediction of hydrogen-fueled solid oxide fuel cells
International Journal of Hydrogen Energy·2024· 6 citedOpen Access
Control-Oriented Modeling of a Solid Oxide Fuel Cell Affected by Redox Cycling Using a Novel Deep Learning Approach
Journal of Dynamic Systems Measurement and Control·2024· 8 cited
Developing a Time-Efficient Model for Solid Oxide Fuel Cells Using Self-Supervised Convolutional Autoencoder and Stateful LSTM Network
2024· 4 cited
Techno-economic analysis of a novel concept for the combination of methane pyrolysis in molten salt with heliostat solar field
Energy·2024· 38 citedOpen Access
Transient modeling of a solid oxide fuel cell using an efficient deep learning HY-CNN-NARX paradigm
Journal of Power Sources·2024· 18 citedOpen Access
Efficient System Identification of a Solid Oxide Fuel Cell Using a Deep Learning Hy-Cnn-Narx Paradigm for Control and Diagnostics
SSRN Electronic Journal·2024Open Access
A Comparative Techno-Economic Investigation between Solar-Based Hydrogen Production by Methane Pyrolysis and Water Electrolysis Methods
SSRN Electronic Journal·2024Open Access
Modeling and microstructural study of anode-supported solid oxide fuel cells: Experimental and thermodynamic analyses
International Journal of Hydrogen Energy·2023· 41 cited
Design, thermodynamic, and economic analyses of a green hydrogen storage concept based on solid oxide electrolyzer/fuel cells and heliostat solar field
Renewable Energy·2023· 155 cited
Tailoring the solid oxide fuel cell anode support composition and microstructure for low‐temperature applications
Fuel Cells·2023· 4 citedOpen Access
Oxygen Electrode Materials for Solid Oxide Electrolysis Cells (SOECs)
Lecture notes in energy·2023· 3 cited
Stability of infiltrated cathodes using Pr2NiO4+delta precursor for low-temperature fuel cell applications
International Journal of Hydrogen Energy·2022· 10 citedOpen Access
Microstructure and long-term stability of Ni–YSZ anode supported fuel cells: a review
Materials Futures·2022· 68 citedOpen Access
Performance and Stability of Infiltrated Praseodymium Nickelate Cathodes for Low-Temperature Fuel Cell Applications
SSRN Electronic Journal·2022Open Access
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Frequent Co-authors

Thomas H. Etsell(25), Partha Sarkar(21), Stuart Hampshire(10), Mahdi Shahbakhti(8), Michael J. Pomeroy(8), M. Laguna(7), Navjot Kaur Sandhu(6), Annaïk Genson(6), Alireza Torabi(6), Amir Reza Razmi(5), Jing‐Li Luo(5), Milad Fathi(4), Sajad Vafaeenezhad(4), Mark Zazulak(4), Mohamadali Tofigh(4), A. Kharazmi(4), Daniel J. Smith(4), Charles Robert Koch(4), Partha Sarkar(3), Adrien Vincent(3)