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 ...
When researchers want to uncover what atoms make up a material, they turn to a number of tried-and-true spectroscopy methods. Spectroscopy works by shining a specific type of light onto a substance ...
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 ...
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 ...
Understanding the properties of different materials is an important step in material design. X-ray absorption spectroscopy (XAS) is an important technique for this, as it reveals detailed insights ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results