logo
ResearchBunny Logo
Abstract
This study demonstrates the potential of artificial intelligence (AI) in NMR spectroscopy, surpassing the capabilities of traditional methods. AI-powered neural networks were trained to solve three previously intractable problems: quadrature detection using only echo or anti-echo modulation; quantifying signal intensity uncertainty; and establishing a reference-free NMR spectrum quality score. The findings suggest AI can revolutionize NMR processing and analysis.
Publisher
Communications Chemistry
Published On
Oct 27, 2024
Authors
Amir Jahangiri, Vladislav Orekhov
Tags
artificial intelligence
NMR spectroscopy
neural networks
signal intensity
quadrature detection
spectral quality score
Listen, Learn & Level Up
Over 10,000 hours of research content in 25+ fields, available in 12+ languages.
No more digging through PDFs—just hit play and absorb the world's latest research in your language, on your time.
listen to research audio papers with researchbunny