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AI model accelerates defect-based material design
Across the physical world, many intricate structures form via symmetry breaking. When a system with inherent symmetry transitions into an ordered state, it can form stable imperfections known as ...
A recent review article published in Advanced Materials explored the potential of artificial intelligence (AI) and machine learning (ML) in transforming thermoelectric (TE) materials design. The ...
A key factor for the performance of sensors is the speed at which the system returns to its initial state after a disturbance ...
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