Robotics & Machine Learning Daily News2024,Issue(Apr.4) :50-51.

Southern Federal University Reports Findings in Machine Learning (Improving sens itivity of XANES structural fit to the bridged metalmetal coordination)

Robotics & Machine Learning Daily News2024,Issue(Apr.4) :50-51.

Southern Federal University Reports Findings in Machine Learning (Improving sens itivity of XANES structural fit to the bridged metalmetal coordination)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Machine Learning is th e subject of a report. According to news originatingfrom Rostov on Don, Russia, by NewsRx correspondents, research stated, “Hard X-ray absorptionspectroscopy is a valuable in situ probe for non-destructive diagnostics of metal sites. The low-energy intervalof a spectrum (XANES) contains information about the metal o xidation state, ligand type, symmetryand distances in the first coordination sh ell but shows almost no dependency on the bridged metal-metalbond length.”

Key words

Rostov on Don/Russia/Eurasia/Cyborgs/Emerging Technologies/Machine Learning

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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