Large-scale computational exploration of reactions offers a new perspective for understanding chemical reaction processes. However, it often relies on chemical intuition and extensive manual effort. We introduce here a novel algorithm for the fast exploration of possible products in chemical reactions. The algorithm is based on atomistic features derived from inexpensive electronic structure theory calculations. With the electronic structure as the sole required input from reactants, the reaction search includes the assessment of reactivity sites, the construction of corresponding trial reaction coordinates, and their exploration, all of which can be carried out autonomously. We demonstrate that our algorithm significantly reduces the manual effort involved in chemical reaction exploration using as a reference a large set of prototype reactions obtained from textbooks and published databases. Furthermore, a new product exploration approach based on a harmonic force field optimization achieves around 97% success in reproducing reference reaction outcomes, while keeping the computational cost low, thus ensuring both reliability and efficiency. The entire reaction exploration workflow has been implemented in a self-developed reaction exploration package called aRST.
Ying Chen