Neural Networks Learn in Five Steps
An ordinary neural network for quantum chemistry is like a student who learns from mistakes but keeps tripping over the same spot. It crawls toward the right answer, is sensitive to settings, and often loses stability. For the fluorine molecule, the new method sped up calculations by 17,900 times compared to the popular Adam method.