Since its development in the first half of the 20th century, Nuclear magnetic resonance (NMR) spectroscopy is an integral tool across various scientific disciplines. The method’s relevance and power ...

In this interview, Data Scientist Federico Paruzzo discusses how Bruker has used deep learning to develop sigreg, the first machine-learning-based command available in Bruker’s TopSpin software.

In the past decade, the potential of harnessing the ability of nuclear magnetic resonance (NMR) spectroscopy to monitor intermolecular interactions as a tool for drug discovery has been increasingly ...

For the majority of users conducting nuclear magnetic resonance (NMR) spectroscopy today, sample preparation follows a similar path: isolate a compound or compounds from a reaction mixture (or if ...