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The CarMeN project focuses on discovering new functional materials by integrating machine learning with crystal structure prediction to explore metal carbonitrides. These materials have potential applications in sustainable energy and advanced manufacturing due to their unique properties.
The CarMeN (Carbonitride Metal Navigator) project aims to revolutionize the discovery of functional materials by combining machine learning (ML) with crystal structure prediction (CSP) to accelerate exploration of the vast and underexplored space of metal carbonitrides (MCNs).
MCNs, composed of earth-abundant metals with carbon and nitrogen, exhibit exceptional mechanical, electronic, catalytic, and superconducting properties, making them highly relevant for sustainable energy, catalysis, quantu…
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