Robotics & Machine Learning Daily News2024,Issue(Feb.8) :76-77.DOI:10.1002/smtd.202301397

Southern Federal University Reports Findings in Machine Learning (Machine Learning for Quantitative Structural Information from Infrared Spectra: The Case of Palladium Hydride)

Robotics & Machine Learning Daily News2024,Issue(Feb.8) :76-77.DOI:10.1002/smtd.202301397

Southern Federal University Reports Findings in Machine Learning (Machine Learning for Quantitative Structural Information from Infrared Spectra: The Case of Palladium Hydride)

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Abstract

New research on Machine Learning is the subject of a report. According to news originating from Rostov on Don, Russia, by NewsRx correspondents, research stated, “Infrared spectroscopy (IR) is a widely used technique enabling to identify specific functional groups in the molecule of interest based on their characteristic vibrational modes or the presence of a specific adsorption site based on the characteristic vibrational mode of an adsorbed probe molecule. The interpretation of an IR spectrum is generally carried out within a fingerprint paradigm by comparing the observed spectral features with the features of known references or theoretical calculations.” Our news journalists obtained a quote from the research from Southern Federal University, “This work demonstrates a method for extracting quantitative structural information beyond this approach by application of machine learning (ML) algorithms. Taking palladium hydride formation as an example, Pd-H pressure-composition isotherms are reconstructed using IR data collected in situ in diffuse reflectance using CO molecule as a probe.”

Key words

Rostov on Don/Russia/Eurasia/Cyborgs/Emerging Technologies/Machine Learning/Palladium/Transition Elements

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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参考文献量38
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