This approach of labeling with respect to the integrated reaction energies is analogous to the procedure used for training the DM21 functional. One might consider going beyond this "Global Energy Loss" (GES) and using energy densities instead ("Local Energy Loss", LES). The trained n-LMF was then integrated into a local version of the Turbomole 57 software together with analytical derivatives defined by eq. 14. This allowed for practical and routine self-consistent calculations within Turbomole in a standard workflow. For all t-LMF-or n-LMF-based functionals of this work, self-consistent calculations were done for the entire GMTKN55 52 test suite. This involved either the B95c 51 correlation functional or the described B97c-style power series. For the non-self-consistent optimization of the linear parameters of the latter (see above), a BFGS algorithm has been used, minimizing the WTMAD-2 value of the full GMTKN55 database with LH24n-B95 orbitals, in the presence of the D4 dispersion corrections optimized previously for the B95c-based variant of a given functional.