Researchers have developed an AI-driven method to automate phosphorus-31 NMR spectral analysis, achieving higher accuracy than human experts. The model, trained on curated experimental and synthetic ...

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.

Nuclear Magnetic Resonance (NMR) spectroscopy is a powerful tool for determining the structure of organic molecules, from simple compounds to complex biomolecules. By analyzing chemical shifts, ...

Advanced NMR solutions introduce enhanced sensitivity, automated workflows, and AI-driven data analysis, supporting ...

Nuclear magnetic resonance (NMR) spectroscopy was developed to detect protons, and has since then been applied in studying the molecular structure of proteins, RNA, DNA complexes, and interactions ...

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 ...

Designated April 26, 2011, at Stony Brook University in Stony Brook, New York, and April 8, 2011, at Agilent Technologies in Santa Clara, California. MRI (magnetic resonance imaging) has become a ...

Nuclear Magnetic Resonance (NMR) was first experimentally observed in late 1945, nearly simultaneously by the research groups of Felix Bloch, at Stanford University and Edward Purcell at Harvard ...