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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 plays a crucial role in the fabrication of advanced coatings and materials with tailored properties. Research on the electrochemical deposition of nickel-based alloys highlights its catalytic performance. Investigating the nucleation and growth mechanisms in Ni-based alloys deposition bridges the gap between fundamental electrochemistry and practical applications.   Defining New Electrochemical Reactions   One of the key challenges in Ni alloy electrodeposition is understanding the reduction mechanism of alloying element. Unlike nickel, which reduces directly, certain alloying elements undergo a more complex reduction process. Through electrochemical modeling, new reaction pathways were defined by summing multiple electrochemical reactions and optimizing the Butler-Volmer equations. This approach enables a more accurate description of the kinetic parameters governing the process.   AI-Powered Analysis of SEM Images   To quantify the nucleation behavior, the VUB AI tool was utilized for analyzing scanning electron microscopy (SEM) images. This AI-driven approach enables precise detection and measurement of nuclei, providing valuable insights into the effect of...

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The transition from laboratory-scale research to pilot-scale production is a crucial phase in developing nickel coating technologies. While these coatings are expected to provide excellent corrosion resistance, durability, and conductivity, their large-scale production and application must be assessed for sustainability, economic feasibility, and regulatory compliance. Ensuring sustainability during this transition is essential to minimize environmental impact, optimize costs, and meet regulatory standards.   A Life Cycle Assessment (LCA) evaluates the environmental footprint, focusing on raw material extraction, energy consumption, emissions, and waste management. Nickel production and electroplating are energy-intensive and generate hazardous by-products such as heavy metal waste and chemical effluents. Sustainable solutions, including closed-loop recycling, optimized plating baths, and eco-friendly alternatives, help mitigate these impacts. In addition, a Life Cycle Costing (LCC) Analysis assesses capital and operational costs, process efficiency, and market potential to ensure cost-effective scaling. Innovations such as low-energy deposition techniques and resource-efficient chemical formulations improve economic viability while...

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Since the NICKEFFECT projects aims at replacing platinum catalyst based PEM Fuel Cell (FC) cathodes by porous graphite electrodes that are covered with nickel alloy (nano-)particles, the plating process for creating these nickel nuclei populations  must be properly understood and controlled.   Same as for Water Electrolysis (WE) cells, the use of porous electrodes allows creating a high surface to volume ratio.  The throwing power of a full coverage nickel alloy plating process into a porous structure as for example a carbon fiber cloth is limited (WE cathodes), and the same holds for a nucleation plating process into a porous carbon structure (FC cathodes).  But whereas the main specifications in case of a full coverage nickel alloy plating process for WE cathodes involve primarily the local plating layer thickness and alloy content, for FC cathodes practically all local characteristics of the nuclei population are of importance, involving nuclei density, nuclei size...

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The NICKEFFECT project participated in the Artificial Intelligence for Advanced Materials Conference (AI4AM 2024), held from July 2nd to 4th in the city of Barcelona, Spain. This cross-disciplinary international event brought together top experts from industry and research institutions who utilise Artificial Intelligence (AI) to advance discoveries in materials science. The conference's main goal is to refine automated designs for both structural and electronic material models in engineering, focusing on improving interoperability among material databases and enabling reverse material engineering.   Konrad Eiler, from NICKEFFECT's project partner Universitat Autònoma de Barcelona, did a presentation on the active learning approach used to accelerate experiments as part of the project. Konrad gave some insights on the practical benefits of the Active Learning methodology in guiding experimentalists to find the best conditions for growing Ni-W films for catalysis.     Active Learning in Materials Science   Konrad's presentation highlighted how AI, particularly Active Learning, significantly aids experimentalists in determining optimal...

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