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 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 ...
Workflow of the proposed AI-based approach interpreting X-ray absorption spectroscopy (XAS) data (IMAGE) ...
Enhancing protein identification accuracy is vital for proteomics; this article explores key technologies and statistical methods involved.
A new AI-accelerated platform creates digital replicas of chemical experiments, enabling real-time optimization and rapid ...
Explore technical features and comparative strengths of MaxQuant, Proteome Discoverer, FragPipe, and DIA-NN workflows.
A new analytical transmission model incorporating pressure-dependent opacity improves interpretation of exoplanet atmospheres and supports data analysis from JWST and the upcoming ARIEL mission.
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