MIT’s new robot runs 3,000 photoconductivity tests a day to unlock cleaner energy
SMRTR summary
An MIT-developed autonomous robot uses machine learning and a robotic probe to perform 3,000 daily photoconductivity tests on semiconductors, potentially speeding up the discovery of more efficient materials for solar panels and electronics.
SMRTR provides this summary for quick context. The original article belongs to Interesting Engineering.
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