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Ground-state properties of the hydrogen chain: insulator-to-metal transition, dimerization, and magnetic phases

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arxiv 1911.01618 v2 pith:B7IM3UCO submitted 2019-11-05 cond-mat.str-el physics.chem-phquant-ph

classification cond-mat.str-elphysics.chem-phquant-ph
keywords chainhydrogenpropertiesdimerizationinsulator-to-metalmagneticmodelphase
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Accurate and predictive computations of the quantum-mechanical behavior of many interacting electrons in realistic atomic environments are critical for the theoretical design of materials with desired properties, and require solving the grand-challenge problem of the many-electron Schrodinger equation. An infinite chain of equispaced hydrogen atoms is perhaps the simplest realistic model for a bulk material, embodying several central themes of modern condensed matter physics and chemistry, while retaining a connection to the paradigmatic Hubbard model. Here we report a combined application of cutting-edge computational methods to determine the properties of the hydrogen chain in its quantum-mechanical ground state. Varying the separation between the nuclei leads to a rich phase diagram, including a Mott phase with quasi long-range antiferromagnetic order, electron density dimerization with power-law correlations, an insulator-to-metal transition and an intricate set of intertwined magnetic orders.

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    physics.chem-ph 2019-09 conditional novelty 8.0 of 10

    The Fermionic Neural Network is an antisymmetric neural-network wavefunction which, optimized variationally, recovers most correlation energy and outperforms CCSD(T) on several strongly correlated dissociation curves.

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