Before revision:  Its predictions are further augmented with physically-motivated corrections to improve the description of long-ranged interactions and nuclear repulsion . SpookyNet improves upon the current state-of-the-art (or achieves similar performance) on popular quantum chemistry data sets.
After revision:  Chemically meaningful inductive biases and analytical corrections built into the network architecture allow it to properly model physical limits . SpookyNet improves upon the current state-of-the-art (or achieves similar performance) on popular quantum chemistry data sets.