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 ...
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 ...
This study introduces a hybrid numerical-analytical methodology for interpreting, for the first time, both the amplitude and phase of Synchrotron Infrared Nanospectroscopy (SINS) spectra of ...
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 ...
A research team has developed an artificial intelligence (AI) system that proposes suitable molecular structures from the raw ...
Interpreting the degradation characteristics of waterlogged archaeological wood (WAW) is crucial for the conservation of wooden cultural heritage. Generally, multidisciplinary diagnostic methods, ...
This webinar will discuss advanced techniques in NMR spectroscopy, providing descriptions of one-dimensional and two-dimensional NMR experiment types and data interpretation techniques, with examples ...
Workflow of the proposed AI-based approach interpreting X-ray absorption spectroscopy (XAS) data (IMAGE) ...
A method to interpret artificial intelligence (AI) models used in materials discovery by analyzing their learned features has been developed by researchers from Japan. The method extracts key features ...
Water is an abundant and essential compound, found everywhere on Earth. Yet despite its familiarity and simple structure, water displays many unusual physical properties. For more than a century, ...
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