Stationarity Constraints Improve Both Energies and Densities of Machine-Learned Exchange-Correlation Functionals.
arXiv:2610.30022v1 Announce Type: cross Abstract: Empirical exchange-correlation functionals are fitted on fixed orbitals but used self-consistently, so better energies often come with worse densities. We show that the Brillouin residual of a trained functiona
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