New computer vision method helps speed up screening of electronic materials

MIT graduate students Eunice Aissi, left, and Alexander Siemenn, have developed a technique that automatically analyzes visual features in printed samples (pictured) to quickly determine key properties of new and promising semiconducting materials. Credit: Bryce Vickmark. By Jennifer Chu Boosting the performance of solar cells, transistors, LEDs, and batteries will require better electronic materials, made […]

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