Robotics & Machine Learning Daily News2024,Issue(Oct.25) :50-51.

Shanghai Jiao Tong University Researcher Yields New Data on Machine Learning (Ac curate prediction of dielectric properties and bandgaps in materials with a mach ine learning approach)

Robotics & Machine Learning Daily News2024,Issue(Oct.25) :50-51.

Shanghai Jiao Tong University Researcher Yields New Data on Machine Learning (Ac curate prediction of dielectric properties and bandgaps in materials with a mach ine learning approach)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Researchers detail new data in artific ial intelligence. According to news reporting originating from Shanghai Jiao Ton g University by NewsRx correspondents, research stated, “The conventional approa ch to exploring suitable dielectrics for future logic and memory devices relies on first-principle calculations, which are expensive and time-consuming.”

Key words

Shanghai Jiao Tong University/Cyborgs/Emerging Technologies/Machine Learning

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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