A fully convolutional neural functional learns the one-body direct correlation of 3D lattice hard cubes from Monte Carlo data and beats lattice fundamental measure theory on bulk and wall observables.
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Cubic-Equivariant Neural Density Functional Theory for Three-Dimensional Lattice Fluids
A fully convolutional neural functional learns the one-body direct correlation of 3D lattice hard cubes from Monte Carlo data and beats lattice fundamental measure theory on bulk and wall observables.