Researchers from UNSW Describe Findings in Machine Learning (Extracting the Para meters of Two-energy-level Defects In Silicon Wafers Using Machine Learning Models)

Robotics & Machine Learning Daily News2024，Issue(Oct.22) ：17-18.

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Researchers from UNSW Describe Findings in Machine Learning (Extracting the Para meters of Two-energy-level Defects In Silicon Wafers Using Machine Learning Models)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Research findings on Machine Learning are discussed in a new report. According to news originating from Sydney, Austra lia, by NewsRx correspondents, research stated, “This study introduces a pioneer ing machine learning (ML)-based methodology to characterise two-level defects in the bulk of silicon wafers. Bulk defects have a critical impact on the efficiency of silicon solar cells.”

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Sydney/Australia/Australia and New Zea land/Cyborgs/Emerging Technologies/Machine Learning/UNSW

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出版年

2024

Robotics & Machine Learning Daily News

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