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