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these processes at very different levels, from individual atoms up to full working devices. These scales are hard to connect to one another. AIM uses artificial intelligence and machine learning to bridge that gap
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links atomic-scale chemistry, mesoscale transport, and device-level performance, allowing researchers to test, predict, and optimize designs in a computer before building them physically. By improving
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