When simulations fall short, this spectrometer learns for itself

๐Ÿ‡ฉ๐Ÿ‡ฐ Phys.org (DK) —
When simulations fall short, this spectrometer learns for itself

AI Summary

Researchers at Aarhus University have developed an AI-enabled approach that lets an NMR spectrometer learn an effective pulse sequence directly from a sample. The technique aims to improve measurements when weak signals limit the instrument's ability to reveal molecular structure.

An NMR spectrometer can reveal molecular structure down to the atomic level, but weak signals limit what it can see. Now, Aarhus University researchers have used AI to let the spectrometer learn the best pulse sequence directly from the sample.

Health AI & Tech NMR spectroscopy artificial intelligence Aarhus University molecular structure pulse sequences scientific research

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