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with deep learning to design van der Waals heterostructures with optimised spin-orbit torque (SOT) efficiency for ultra-low-power memory and computing. Its two pillars are AUTOMATA, an automatic material
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of the proof-of-concept project, including optimising and testing chemical sintering conditions for noble metallic inks, especially silver-based screen-printed films. The candidate will assess the compatibility
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SSbD indicators. These high-quality datasets will directly feed AI-driven optimisation workflows, enabling predictive, reproducible, and sustainable materials discovery within MAIAMI's closed-loop
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