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RESEARCH PAPER · Energy and AI · 2024

Application of artificial intelligence in the materials science, with a special focus on fuel cells and electrolyzers

Mariah Batool, Oluwafemi Joseph Sanumi, Jasna Janković

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Application of artificial intelligence in the materials science, with a special focus on fuel cells and electrolyzersOriginalAtomic-scale insights into the structure-activity relationship between water transport and water phase structure in proton exchange membranes with deposited Pt particles6AI-driven identification of a novel malate structure from recycled lithium-ion batteries11An innovation framework for investigating the performance of proton exchange membrane fuel cells: a perspective of the EANN model toward lower emission0Recent advances in anion-exchange membranes for electrolyzers, fuel cells and redox-flow batteries12Research on the Path to Improving the Teaching Effectiveness of News Communication in Colleges and Universities under the Background of Artificial Intelligence0A review of linear and nonlinear vibration analysis of composite laminated structures by computational approaches: 2015–202449A machine learning approach to predicting pervious concrete properties: a review16Comprehensive performance investigation of the novel mixed flow field for proton exchange membrane fuel cells: Three-dimensional multiphase simulation of a full-scale cell6Techno-economic evaluation of hollow fiber DD3R zeolite membrane module for hydrogen extraction from hydrogen-blended natural gas7Construction of interfacial layer on microporous layer for enhancing gas diffusion electrode performance4Research progress on membrane electrode assembly for low-pressure electrochemical hydrogen compressors10Improving the Cold-Start Performance of Proton Exchange Membrane Fuel Cells via Precision Engineering of Key Materials18Numerical study of a three-dimensional ramp flow field for proton exchange membrane fuel cells (PEMFC)1Improved mechanical behavior of hybrid structures designed with triply periodic minimal surfaces3A Helping Hand: A Survey About AI-Driven Experimental Design for Accelerating Scientific Research5Smart Materials Unveiled: From Fundamentals to AI-Driven Innovations0Exploring the anode materials for lithium-ion batteries: A review15Role of Patterned Wettability of Anode Porous Transport Layer in Enhancing Two-Phase Transport for Proton Exchange Membrane Electrolyzers15Hierarchical attention-based framework for enhanced prediction and optimization of organic and inorganic material synthesis2Innovative hybrid strategy for optimal proton exchange membrane fuel cell design using neural networks, improved sin-cos algorithm, Harris hawks optimization, and MARCOS decision-making2Total Specific Pore Length as a Key Feature of Carbon Support for High‐Performance Low‐Catalyst‐Loading Fuel Cells3Engineering Bifunctional Catalytic Microenvironments for Durable and High-Energy-Density Metal–Air Batteries39Evolution of prosthetic materials and additive manufacturing of next generational ribcage prothesis4203Chapter 9 Predictive precision: AI-enhanced measurement of mechanical properties in nanostructured polymer composites0Synergistic Integration of g-C3N4 with SnS: Unlocking Enhanced Photocatalytic Efficiency and Electrochemical Stability for Dual-Functional Applications3UTILE-Pore: Deep Learning-Enabled 3D Analysis of Porous Materials in Polymer Electrolyte Membrane-Based Energy Devices3Phosphorus‐Doped Highly Crystalline Carbon for High Platinum Stability and Robust Support in Proton‐Exchange Membrane Fuel Cells1Optimizing Solid Oxide Fuel Cell Performance: A Machine Learning-Based Predictive Approach0Multi-objective optimization of PEM electrolyzers using deep neural networks and gradient boost regressor-particle swarm optimization framework5Comparative Analysis of Degradation Characteristics in a Proton Exchange Membrane Fuel Cell under High-Current-Density (HCD)2Data-driven modeling of polymer electrolyte fuel cells: Towards predictive analytics with explainable artificial intelligence21Advances in Gel Biopolymer Electrolytes: Sustainable Polymers for Energy Storage Applications12Effect of ionomer coverage on Pt surface on local mass transport in the cathode catalyst layer for enhanced proton exchange membrane fuel cell performance5Bridging ink formulation and proton exchange membrane fuel cell performance: Deciphering the role of catalyst ink composition in regulating ionomer behaviors and aggregates/agglomerates structures for high performance cell design4Advances in machine learning for the prediction of fuel cell membrane degradation19A comprehensive review on performance metrics of surface coated bipolar plates of PEMFC2From Molecules to Modules: Advanced Characterization of Membrane Systems2Optimizing Resource-Constrained Scheduling in Materials Manufacturing Using an Improved Genetic Algorithm0Membrane Reinforcement Strategy Using Robust Nanofibers for Durable and Safe AEM Water Electrolysis15Impact of dynamic operating conditions on the performance and thermal distribution of PEM electrolysis cell2Graphene and carbon nanotubes for advanced energy storage and powering next-generation supercapacitors and batteries10Solid-state battery: An emerging transformation of battery technology in electric vehicle applications6Enhancing supercapacitor performance: The Influence of doping in spinel ferrite materials3High-valence tungsten doping induces lattice expansion in Mo–Cu metal-organic framework-derived metal oxide-carbon composite (W@Mo–Cu MOF-MOCC) for enhanced urea electrooxidation catalysis7AI-Optimized Nanoelectronics From Design to Fabrication0Modeling and control of integrated green hydrogen energy systems0293Green Synthesis of Carbon-Based Materials: Sustainable Approaches and Emerging Applications0Applied mathematical and computational frameworks in materials science: a comprehensive review1Generative AI in Healthcare: An Analytical Review of Models, Clinical Applications, and Decision-Support Implications7Advancing analysis of differential scanning calorimetry data – Converging DSC and AI8Artificial intelligence-powered nanomedicine29Framework for Intelligent Electrolyzer Control: A Comprehensive Review on Machine Learning-Enabled Real-Time Operation and Optimization0PEMFC performance degradation prediction model based on temporal convolutional network coupling bi-directional long short-term memory and sparrow search optimization algorithm6Integrating artificial intelligence with electrochemical science for advanced energy storage9Durability and prognostic modelling of low-temperature polymer electrolyte membrane fuel cells in maritime applications: A review0A scientist's guide to AI-driven molecular discovery3Dry-processed electrodes enabled by polytetrafluoroethylene fibrillation for high-performance lithium-ion batteries2A critical review of modeling hydrogen production using water electrolyzer6Intelligent Methods for Materials Discovery and Design0Material Discovery, Renewable Energy, and the Scope of Shallow Learning and Deep Learning1Functionally graded materials: Development, processing techniques, and emerging applications-A comprehensive review7Artificial Intelligence-Driven Materials Design for Next-Generation Sustainable Energy Technologies15Degradation Mechanisms in PEM Water Electrolysis: Diagnosis and Impact93D truss absorbing metamaterial empowered by artificial intelligence: Reverse design and performance breakthrough0Artificial Intelligence (AI) in Scientific Research0Accelerating Computational Material Discovery and Learning: First Experiences with MatterSim0Can AI be energy positive in cement manufacturing? Evaluating AI-driven efficiency through a first-order framework and case study0An AI-driven de novo design and optimisation of sustainable aviation fuels1Coupled Transport, Plasticization, and Retention Mechanisms in Phosphoric Acid-Doped PBI Membranes1Automated co-optimization of flow fields and gas diffusion layers in PEMFCs using intelligent algorithms0Review on Data Science Models Used in Diagnosis of Polymer Electrolyte Membrane Fuel Cells0Nobel Lecture: The Past and Future of Innovation: Can Progress Be Sustained?1Multihead Attention‐Driven TimeGAN‐GRU Hybrid Framework for PEMFC Stack Power Prediction0A mini review on the role of artificial intelligence in direct methanol fuel cells: Toward enhanced efficiency and sustainability0A comprehensive review of machine learning in proton-exchange membrane fuel cells: From materials to intelligent systems0Energy carrier for sustainable economy: Green hydrogen and synthetic fuels: Part 20Physics-Guided Modeling and Artificial Intelligence for Proton Exchange Membrane Fuel Cells in Extreme Environments0

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  1. Atomic-scale insights into the structure-activity relationship between water transport and water phase structure in proton exchange membranes with deposited Pt particles

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  2. AI-driven identification of a novel malate structure from recycled lithium-ion batteries

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  3. An innovation framework for investigating the performance of proton exchange membrane fuel cells: a perspective of the EANN model toward lower emission

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  4. Recent advances in anion-exchange membranes for electrolyzers, fuel cells and redox-flow batteries

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  5. Research on the Path to Improving the Teaching Effectiveness of News Communication in Colleges and Universities under the Background of Artificial Intelligence

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  6. A review of linear and nonlinear vibration analysis of composite laminated structures by computational approaches: 2015–2024

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  7. A machine learning approach to predicting pervious concrete properties: a review

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  8. Comprehensive performance investigation of the novel mixed flow field for proton exchange membrane fuel cells: Three-dimensional multiphase simulation of a full-scale cell

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  9. Techno-economic evaluation of hollow fiber DD3R zeolite membrane module for hydrogen extraction from hydrogen-blended natural gas

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  10. Construction of interfacial layer on microporous layer for enhancing gas diffusion electrode performance

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  11. Research progress on membrane electrode assembly for low-pressure electrochemical hydrogen compressors

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  12. Improving the Cold-Start Performance of Proton Exchange Membrane Fuel Cells via Precision Engineering of Key Materials

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  13. Numerical study of a three-dimensional ramp flow field for proton exchange membrane fuel cells (PEMFC)

    Proceedings of the Institution of Mechanical Engineers Part A Journal of Power and Energy · 2025-04-10

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  14. Improved mechanical behavior of hybrid structures designed with triply periodic minimal surfaces

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  15. A Helping Hand: A Survey About AI-Driven Experimental Design for Accelerating Scientific Research

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  16. Smart Materials Unveiled: From Fundamentals to AI-Driven Innovations

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  17. Exploring the anode materials for lithium-ion batteries: A review

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  18. Role of Patterned Wettability of Anode Porous Transport Layer in Enhancing Two-Phase Transport for Proton Exchange Membrane Electrolyzers

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  19. Hierarchical attention-based framework for enhanced prediction and optimization of organic and inorganic material synthesis

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  20. Innovative hybrid strategy for optimal proton exchange membrane fuel cell design using neural networks, improved sin-cos algorithm, Harris hawks optimization, and MARCOS decision-making

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  21. Total Specific Pore Length as a Key Feature of Carbon Support for High‐Performance Low‐Catalyst‐Loading Fuel Cells

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  22. Engineering Bifunctional Catalytic Microenvironments for Durable and High-Energy-Density Metal–Air Batteries

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  23. Evolution of prosthetic materials and additive manufacturing of next generational ribcage prothesis

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  26. UTILE-Pore: Deep Learning-Enabled 3D Analysis of Porous Materials in Polymer Electrolyte Membrane-Based Energy Devices

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  27. Phosphorus‐Doped Highly Crystalline Carbon for High Platinum Stability and Robust Support in Proton‐Exchange Membrane Fuel Cells

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  30. Comparative Analysis of Degradation Characteristics in a Proton Exchange Membrane Fuel Cell under High-Current-Density (HCD)

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  31. Data-driven modeling of polymer electrolyte fuel cells: Towards predictive analytics with explainable artificial intelligence

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  33. Effect of ionomer coverage on Pt surface on local mass transport in the cathode catalyst layer for enhanced proton exchange membrane fuel cell performance

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  34. Bridging ink formulation and proton exchange membrane fuel cell performance: Deciphering the role of catalyst ink composition in regulating ionomer behaviors and aggregates/agglomerates structures for high performance cell design

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  35. Advances in machine learning for the prediction of fuel cell membrane degradation

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  36. A comprehensive review on performance metrics of surface coated bipolar plates of PEMFC

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  37. From Molecules to Modules: Advanced Characterization of Membrane Systems

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  38. Optimizing Resource-Constrained Scheduling in Materials Manufacturing Using an Improved Genetic Algorithm

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  39. Membrane Reinforcement Strategy Using Robust Nanofibers for Durable and Safe AEM Water Electrolysis

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  43. Enhancing supercapacitor performance: The Influence of doping in spinel ferrite materials

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  44. High-valence tungsten doping induces lattice expansion in Mo–Cu metal-organic framework-derived metal oxide-carbon composite (W@Mo–Cu MOF-MOCC) for enhanced urea electrooxidation catalysis

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  45. AI-Optimized Nanoelectronics From Design to Fabrication

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  48. Applied mathematical and computational frameworks in materials science: a comprehensive review

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  49. Generative AI in Healthcare: An Analytical Review of Models, Clinical Applications, and Decision-Support Implications

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  50. Advancing analysis of differential scanning calorimetry data – Converging DSC and AI

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