A deep neural network with an inverse-Hamiltonian loss function solves the radial Dirac equation for ground and excited states, validated on hydrogen and Woods-Saxon potentials.
11, whereFnκ and Gnκ are gener- ated by two output units, respectively
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A deep neural network approach to solve the Dirac equation
A deep neural network with an inverse-Hamiltonian loss function solves the radial Dirac equation for ground and excited states, validated on hydrogen and Woods-Saxon potentials.