Learning Chemical Intuition: From Molecular Models to Neural Networks

Abstract

This article examines how both chemists and neural networks learn to predict chemical reactivity through different yet complementary frameworks, exploring how to effectively combine human chemical intuition with machine learning.

Keywords

• Digital chemistry
• Machine learning
• Predictive chemistry