SEMINARIO QUÍMICA ORGÁNICA 02-05-22 EXPOSITOR : Lic. Maribel O. Marcarino TÍTULO : " Real-time prediction of 1H and 13C chemical shifts with DFT accuracy using a 3D graph neural network " . FUENTE : Yanfei Guan, S. V. Shree Sowndarya*, Liliana C. Gallegos, Peter C. St. John and Robert S. Paton. Chem. Sci. , 2021 , 12 , 12012-12026 DOI: 10.1039/d1sc03343c . DÍA, HORA y LUGAR : Lunes 2 de mayo de 2022, 18:00 h, Plataforma MEET GOOGLE. Link : meet.google.com/bfh-poxv-bso RESUMEN : Nuclear magnetic resonance (NMR) is one of the primary techniques used to elucidate the chemical structure, bonding, stereochemistry, and conformation of organic compounds. The distinct chemical shifts in an NMR spectrum depend upon each atom's local chemical environment and are influenced by both through-bond and through-space interactions with other atoms and functional groups. The in silico prediction of NMR chemical shifts using quantum mechanical (QM) calculations is now commo...