Graduate student Jinzhe Zeng's paper titled "Development of Range-Corrected Deep Learning Potentials for Fast, Accurate Quantum Mechanical/Molecular Mechanical Simulations of Chemical Reactions in Solution", depicting a machine learning procedure to train one QM model to reproduce another (target) QM model is now published in Journal of Chemical Theory and Computation. Jinzhe already has a few other publications but this was his first one with York Lab! Congratulations Jinzhe!