Periodic Reporting for period 1 - NICKEFFECT (Ni-BASED FERROMAGNETIC COATINGS WITH ENHANCED EFFICIENCY TO REPLACE Pt IN ENERGY & DIGITAL STORAGE APPLICATIONS)
Periodo di rendicontazione: 2022-06-01 al 2023-11-30
In this context, NICKEFFECT aims to replace PGMs with nickel, an earth-abundant element with ferromagnetic properties. The project focuses on three key applications, such as: electrolyser electrodes, fuel cell catalysts, and magneto-electronic devices. To enhance the performance of Ni-based materials, NICKEFFECT will employ innovative deposition techniques to develop coatings with ordered and pseudo-ordered porosity. The increased surface-to-volume ratio provided by these coatings is expected to enhance catalytic performance and contribute to the converse magnetoelectric effect (CME) in electronic devices. NICKEFFECT sets out to develop and validate at least three new materials, along with the corresponding coating methodologies, process modeling, and decision support tools for materials selection, as well as explore various recyclability strategies to recover up to 90% of Ni. These tools will integrate safe and sustainable by design (SSbD) criteria and materials modeling to ensure the viability and eco-friendliness of the alternatives.
The project aims to advance technology from the proof-of-concept (TRL3) to validation in real environments (TRL5). The partners will take NICKEFFECT results and elevate the technology further reaching higher TRLs and paving the way towards market-ready PGM-free coating materials and solutions in a variety of industrial applications. NICKEFFECT aligns with the objectives of the twin green and digital transformations, aiming to have a significant scientific and socio-economic impact on Europe's industrial landscape within the project duration, as well as in a long-term perspective. By focusing on safety and sustainability, NICKEFFECT seeks to contribute to resilient, sustainable, and secure raw materials value chains for EU industrial ecosystems.
- The methods to fabricate various Ni-based materials with tunable porosity levels and controlled composition, thickness and microstructure have been developed at the laboratory scale combining physical, chemical and physico-chemical deposition techniques.
- A qualitative CRA capsuling all the requirements to ensure the health, the environmental and the goods safety has been developed and implemented for three Ni-based alloy compositions.
- Preliminary results of LCA/LCC assessments based on the laboratory-scale experiments have been performed for three different Ni-based materials.
- Machine learning model has been trained to predict the electrodeposition conditions leading to materials with enhanced catalytic activity towards hydrogen evolution and durability.
- The electrodeposition process model has been extended with required functionality to simulate electrochemical processes onto realistic electrodes with complex shapes.
- Material & Process Information Management System (based on Ansys Granta MI) has been created and data population has been started.
1) Novel PGM-free electrodes for hydrogen production in water electrolyzers have been fabricated and demonstrated a high catalytic activity and durability at the lab scale. The patentability of such electrodes is under evaluation.
2) The activity of Ni-based materials towards hydrogen evolution reaction has been increased by employing the suggestions from a developed machine learning model.
3) Two different strategies have been defined to achieve a comparable level of efficiency in MRAM devices by substituting Pt with Ni, including the angstrom-range control of layer thicknesses in multitasks and converse magnetoelectric approach.
4) The developed version of MITReM with a realistic electrode geometry allowed to create a virtual twin of the electrochemical cell used to prepare 3D Ni-based electrodes thus allowing to realize a computer aided engineering of pilot cell for the electrode production.
5) Currently CRA and LCA/LCC data are being integrated with the purpose to build the decision support tool. They will be incorporated through a multi-criteria analysis scheme, offering the flexibility to tailor the tool’s function based on case-specific requirements.