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 ...

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) ...

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, ...

Organic chemistry, the study of carbon-based molecules, underlies not only the science of living organisms, but is critical for many current and future technologies, such as organic light-emitting ...

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 ...