Latent unified smooth Hamiltonians for excited state chemistry
A neural network architecture and training procedure designed to model electronic ground and excited states of arbitrary molecular systems that offers a unified treatment of multiple electronic states, conical intersections, and non-adiabatic couplings is described.
David Juergens, M. Stohr, A. E. Hillers-Bendtsen et al.
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