Stacked Generalization Approach to Improve Prediction of Molecular Atomization Energies
arXiv:1805.09507
Abstract
Machine learning holds the promise of learning the energy functional via examples, bypassing the need to solve complicated quantum-chemical equations and realizing efficient computing of molecular electronic properties.
15 pages, 4 Figure