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Autonomous MIT robot helps discover better materials for solar panels
At the heart of the system is a robotic probe capable of measuring photoconductance, a property that reveals how a material responds to light. By integrating expert...
Forward-looking: A new chapter in materials science is unfolding at MIT, where researchers have developed a fully autonomous robotic system designed to accelerate the search for advanced semiconductors. The neural network outperformed seven other AI-based methods in identifying contact points with reduced computation time, and the path planner consistently generated shorter routes than competing algorithms. "Being able to gather such rich data that can be captured at such fast rates, without the need for human guidance, starts to open up doors to be able to discover and develop new high-performance semiconductors, especially for sustainability applications like solar panels," Siemenn said.
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