The dynamic ATcT approach overcomes the pitfalls of the adopt-and-freeze sequential approach. At the time of compilation of the thermochemical network, a set of partition functions is chosen for each species. The entire thermochemical network is constructed by fitting trial ∆ f H to that network using a weighted least squares regression . All determinations within the net-work are then checked against the trial solution using the "worst offenders" algorithm. The determination that is least consistent with the trial ∆ f H has their uncertainty increased marginally. This procedure is repeated until the entire thermochemical network consists of ∆ f H with uncertainties that are internally consistent. The ATcT approach uses all data available at the time of solution and can be painlessly updated with new information, including additional ab initio or experimental data, new species, or improved partition functions for species. Thus, the ATcT incorporates all available data from experimental and theoretical into a single thermochemical network. This approach can determine ∆ f H with an astonishing sub kJ mol -1 accuracy. The current version of the ATcT contains 3000 gas-phase species , and it can easily be accessed at . Our current study uses the ATcT database as the global thermochemical network. Accordingly, we will use the terms ATcT or global thermochemical network interchangeably in the remainder of this paper.