Permutation invariant polynomial neural network based diabatic ansatz for the (E + A) × (e + a) Jahn-Teller and

Yafu Guan1, David R Yarkony2, Dong H Zhang1

  • 1State Key Laboratory of Molecular Reaction Dynamics and Center for Theoretical Computational Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian 116023, People's Republic of China.

Summary

The permutation invariant polynomial neural network (PIP-NN) approach constructs a quasi-diabatic Hamiltonian for systems with non-Abelian symmetries. This method accurately reproduces electronic structure data for the H3+ molecule, including conical intersections.

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