Chemical shift predictions for all atoms in the molecule are performed simultaneously, leading to an efficient numerical implementation. Learning DFT predicted chemical shifts: As an alternative to a large, manually curated collection of experimental chemical shifts, a computationally generated dataset offers several advantages. DFT computed chemical shifts are easily parsed and unequivocally assigned to the responsible atom in each compound. By sampling different structures, the dataset can be designed to ensure broad model coverage.