Jintao Wu expanded the RMG-database by adding new atom energies calculated with the CCSD(T)F12 method and the aug-cc-pVTZ-F12 basis set, enhancing the database’s coverage of high-accuracy quantum chemistry data. Working in Python, Jintao focused on data management and quantum chemistry integration, ensuring that the update improved the fidelity of energy calculations used in reaction mechanism generation. The work was delivered through a traceable, well-documented commit, supporting reproducibility and version control best practices. By extending the RMG-database repository in this way, Jintao addressed the need for more reliable energetics data in computational chemistry workflows.