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NICKEFFECT aims to develop novel ferromagnetic Ni-based coating materials to replace the scarce and costly Platinum and ensure high efficiency in key applications.

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electrodeposition Tag

The NICKEFFECT consortium got together for the 5th General Assembly meeting on June 13-14, 2024, at the Universitat Autònoma de Barcelona. This gathering marked the midpoint of the 48-month project, bringing together all partners for two full days of updates, discussions, and strategic planning.   The meeting focused on a series of presentations that provided a comprehensive overview of the project's progress. Key presentations included:   Project Management and Coordination Sustainable-by-Design approach Advancements in developing Coating Materials with tuned porosity and characterization Modelling of Electrodeposition Process Upscale of the production processes, deposition on demonstrators Dissemination, Exploitation, and Guiding & Standardization Materials validation in relevant environments   The General Assembly also counted with an exciting visit to the laboratories at the Universitat Autònoma de Barcelona's science faculty. Attendees had the opportunity to observe innovative research facilities and ongoing experiments related to the NICKEFFECT project.   As the meeting concluded, the partners had a clear roadmap for the next...

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Temperature plays a crucial role in electrodeposition processes, influencing both the kinetics and thermodynamics of the reaction. As temperature increases, the rate of electrodeposition generally accelerates due to enhanced mass transport of ions to the electrode surface and increased reaction kinetics. Additionally, higher temperatures often lead to changes in the morphology, structure, and composition of the deposited material, affecting its properties such as adhesion, density, and crystallinity. However, the effect of temperature on electrodeposition can be complex, as excessive heat may also promote side reactions, electrolyte decomposition, or changes in the electrode surface, potentially leading to poor-quality deposits or altered electrochemical behavior. Thus, optimizing temperature conditions is essential for controlling the quality, uniformity, and properties of electrodeposited coatings and films.   Through collaboration with our partners and leveraging machine learning (ML) techniques, we identified the optimal temperature for electrodeposition processes. Subsequently, we embarked on physics-based modeling efforts to understand the intricate relationship...

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