Researchers have developed a new machine learning algorithm that excels at interpreting optical spectra, potentially enabling faster and more precise medical diagnoses and sample analysis. Researchers ...
A method to interpret artificial intelligence (AI) models used in materials discovery by analyzing their learned features has ...
A research team has developed an artificial intelligence (AI) system that proposes suitable molecular structures from the raw ...
Your advanced guide to interpreting spectra produced by Fourier Transform Infrared (FTIR) spectroscopy. Go beyond the basics of FTIR spectral interpretation with this 1-day classroom-based training ...
A machine learning model has been developed that makes optical spectroscopy data easier and quicker to interpret. Researchers from Rice University (TX, USA) have developed a new machine learning ...
The study revealed four key mechanisms by which oxygen isotopes affect Raman signals, providing a foundation for more ...
Manufacturing better batteries, faster electronics, and more effective pharmaceuticals depends on the discovery of new materials and the verification of their quality. Artificial intelligence is ...
Workflow of the proposed AI-based approach interpreting X-ray absorption spectroscopy (XAS) data (IMAGE) ...
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