Findings from Carnegie Mellon University Provides New Data about Machine Learning (Unifying Theory of Electronic Descriptors of Metal Surfaces Upon Perturbation )

Robotics & Machine Learning Daily News2024，Issue(Oct.23) ：6-6.

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Findings from Carnegie Mellon University Provides New Data about Machine Learning (Unifying Theory of Electronic Descriptors of Metal Surfaces Upon Perturbation )

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Machine Learning is th e subject of a report. According to news reporting out of Pittsburgh, Pennsylvan ia, by NewsRx editors, research stated, “We present a unifying theory for predic ting electronic descriptors (e.g., the d-band center is an element of(d)) of tra nsition and noble metal surfaces by interpretable deep learning.”

Key words

Pittsburgh/Pennsylvania/United States/North and Central America/Cyborgs/Emerging Technologies/Machine Learning/Carnegie Mellon University

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出版年

2024

Robotics & Machine Learning Daily News

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