Deep neural nets remain useful for KS DFT XC functionals, but KEFs and nuclear DFT favor lighter models and symbolic regression because of stricter accuracy and cost constraints.
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ML and AI for density functional theory: different priorities for Kohn-Sham and orbital-free DFT, for electronic and nuclear DFT
Deep neural nets remain useful for KS DFT XC functionals, but KEFs and nuclear DFT favor lighter models and symbolic regression because of stricter accuracy and cost constraints.