Nuclear Magnetic Resonance

Nuclear Magnetic Resonance (NMR) spectroscopy is a powerful analytical technique used to determine the structure and dynamics of molecules, particularly in chemistry and biology. Current research focuses on improving NMR data processing and analysis through the application of deep learning methods, such as convolutional neural networks and other advanced architectures, to enhance signal-to-noise ratios, automate data analysis, and accelerate structure determination. These advancements are significantly impacting various fields by enabling faster, more efficient, and accessible NMR analysis, leading to improved workflows in drug discovery, structural biology, and medical diagnostics.