Moving to autonomous experimentation: Growing thin films with machine learning

Moving to autonomous experimentation: Growing thin films with machine learning

From cell phones to solar panels to quantum computers, thin films are essential to current and emerging technologies. But making functional thin films requires control. During hours-long processes, thin films form atom by atom. Small changes in data readouts can tell researchers when something is going wrong. Detecting defects as soon as possible may help scientists fix films while they’re growing, saving time and money. From cell phones to solar panels to quantum computers, thin films are essential to current and emerging technologies. But making functional thin films requires control. During hours-long processes, thin films form atom by atom. Small changes in data readouts can tell researchers when something is going wrong. Detecting defects as soon as possible may help scientists fix films while they’re growing, saving time and money. Nanomaterials Phys.org – latest science and technology news stories

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