Wiley, one of the world's largest publishers and a global leader in research and learning, today announced the release of two new Wiley SmartSpectra Database Collections generated using the most current machine-learning techniques to significantly expand the number of spectral data available for analysis.
These new data collections, the Wiley SmartSpectra Vapor Phase IR Database Collection and Wiley SmartSpectra Raman Database Collection were created by Wiley Science Solutions using an AI-powered spectrum prediction engine derived from its high-quality, comprehensive spectral database collections-the largest commercially available. These new databases cover a broad range of compounds including general organics, biochemicals, drugs, dyes, food related compounds, industrial compounds, monomers, pollutants, and more.
"We are very proud of the work we continue to do in this area. As we expand the addressable chemical space, we help scientists reach conclusions faster," said Graeme Whitley, Director of Data Science Solutions at Wiley.
The Wiley SmartSpectra databases of "computed" spectra are designed for use along with Wiley's empirical databases of "measured" spectra in the analysis of unknown samples. They are especially useful in the identification of rarer compounds and materials, when a match cannot be found in the empirical databases.
Wiley SmartSpectra Databases are available exclusively through Wiley's KnowItAll software, a comprehensive solution for spectral analysis and management.
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