Improving Accuracy and Transferability of Machine Learning Chemical Activation Energies by Adding Electronic Structure Information حسب Esteban Marques (14713002)

"…Recent advances have shown that machine learning can be used to create tools to predict them. Such tools can significantly decrease the computational cost for these predictions compared to traditional methods, which require an optimal path search along a high-dimensional potential energy surface. …"