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for the new green steels compositions, including impurities and tramp elements. These models should enable density-functional-theory (DFT) accurate large scale atomistic simulations of defects including
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of state-of-the-art machine learning potentials for multi-component alloy systems that are relevant for the new green steels compositions, including impurities and tramp elements. These models should enable
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RE-Fibre is a Doctoral Network funded by Marie Sklodowska-Curie Actions (MSCA-DN) that aims to revolutionize Bio-fibre composite landscape by designing high-performance, fully renewable, and
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to provide insights for regional material use reductions and process improvements, while simultaneously achieving cost reductions. A regional approach in the North enhances expertise, cleaning and production
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-fibre composite landscape by designing high-performance, fully renewable, and recyclable wood and plant fibre materials. RE-Fibre will train 11 Doctoral Candidates (DCs) with an entrepreneurial and
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-DN) that aims to revolutionize Bio-fibre composite landscape by designing high-performance, fully renewable, and recyclable wood and plant fibre materials. RE-Fibre will train 11 Doctoral Candidates