Robotics & Machine Learning Daily News2024,Issue(Oct.28) :33-34.

Investigators at Southwest Minzu University Report Findings in Machine Learning (Machine Learning-assisted Accelerated Research On Piezoelectric Response Prediction of Knn-based Ceramics)

Robotics & Machine Learning Daily News2024,Issue(Oct.28) :33-34.

Investigators at Southwest Minzu University Report Findings in Machine Learning (Machine Learning-assisted Accelerated Research On Piezoelectric Response Prediction of Knn-based Ceramics)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – A new study on Machine Learning is now available. According to news reporting from Chengdu, People’s Republic of China, by NewsRx journalists, research stated, “Potassium sodium niobate (KNN)-based lead-free piezoelectric ceramics have attracted significant attention due to the remarkable electrical properties and high Curie temperature. However, the conve ntional trial-and-error approach for identifying optimal doping combinations to enhance their performance is inefficient and expensive.”

Key words

Chengdu/People’s Republic of China/Asia/Cyborgs/Emerging Technologies/Machine Learning/Southwest Minzu University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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