首页|Studies from University of Durham Provide New Data on Machine Learning (Machine Learning for Ultra High Throughput Screening of Organic Solar Cells: Solving the Needle In the Haystack Problem)
Studies from University of Durham Provide New Data on Machine Learning (Machine Learning for Ultra High Throughput Screening of Organic Solar Cells: Solving the Needle In the Haystack Problem)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Current study results on Machine Learning have been published. According to newsoriginating from Durham, United Kingdom, by NewsRx correspondents, research stated, “Over the lasttwo decades the organic solar cell community has synthesized tens of thousands of novel polymers andsmall molecules in the search for an optimum light harvesting material. These materials are often crudelyevaluated simply by measuring the current-voltage (JV) curves in the light to obtain power conversionefficiencies (PCEs).”
DurhamUnited KingdomEuropeCyborgsEmerging TechnologiesMachine LearningOrganic Solar CellsSolar CellsTechnologyUniversity of Durham
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