Expressibility of comb tensor network states (CTNS) for the P-cluster and the FeMo-cofactor of nitrogenase

• URL: http://arxiv.org/abs/2009.12573v3
• Date: Fri, 4 Jun 2021 20:48:20 GMT
• Title: Expressibility of comb tensor network states (CTNS) for the P-cluster and the FeMo-cofactor of nitrogenase
• Authors: Zhendong Li
• Abstract summary: Polynuclear transition metal complexes such as the P-cluster and the FeMo-cofactor of nitrogenase represent a great challenge for current electronic structure methods. We initiated the use of comb tensor network states (CTNS) as a many-body wavefunction ansatz to tackle these challenging systems. We presented an algorithm to express a configuration interaction (CI) wavefunction into CTNS based on the Schmidt decomposition.
• Score: 0.0
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: Polynuclear transition metal complexes such as the P-cluster and the FeMo-cofactor of nitrogenase with eight transition metal centers represent a great challenge for current electronic structure methods. In this work, we initiated the use of comb tensor network states (CTNS), whose underlying topology has a one-dimensional backbone and several one-dimensional branches, as a many-body wavefunction ansatz to tackle these challenging systems. As an important first step, we explored the expressive power of CTNS with different underlying topologies. To this end, we presented an algorithm to express a configuration interaction (CI) wavefunction into CTNS based on the Schmidt decomposition. The algorithm was illustrated for representing approximate CI wavefunctions obtained from selected CI calculations for the P-cluster and the FeMo-cofactor into CTNS with three chemically meaningful comb structures, which successively group orbitals belonging to the same atom into branches. The conventional matrix product states (MPS) representation was obtained as a special case. We also discussed the insights gained from such decompositions, which shed some light on the future developments of efficient numerical tools for polynuclear transition metal complexes.

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