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 ...
The study revealed four key mechanisms by which oxygen isotopes affect Raman signals, providing a foundation for more ...
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 ...
For scientists and engineers, the best way to understand a new or unknown material--whether it's an alloy, a pharmaceutical or a meteorite--is to delve into its atoms. Techniques such as X-ray ...
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 ...
Researchers developed a hybrid UMAP-HDBSCAN-SVM machine learning workflow to rapidly classify low-loss STEM-EELS spectrum ...
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