Contributed to the ReactionMechanismGenerator/RMG-database by expanding atom energy data for the CCSD(T)F12 method using the aug-cc-pVTZ-F12 basis set, thereby increasing the fidelity and coverage of quantum chemistry energetics within the database. Leveraged Python for data management and integrated new high-accuracy quantum mechanical results, enhancing the reliability of mechanism generation and downstream predictions. The update was delivered with clear version control traceability, supporting reproducibility and transparency in scientific workflows. No major bugs were addressed during this period, with the primary focus on feature development and database integration to improve the quality and scope of available energy calculations.