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Neutron scattering and neural-network quantum molecular dynamics investigation of the vibrations of ammonia along the solid-to-liquid transition

Author

Listed:
  • T. M. Linker

    (University of Southern California
    Menlo Park)

  • A. Krishnamoorthy

    (Department of Mechanical Engineering Texas A&M)

  • L. L. Daemen

    (Oak Ridge National Laboratory)

  • A. J. Ramirez-Cuesta

    (Oak Ridge National Laboratory)

  • K. Nomura

    (University of Southern California)

  • A. Nakano

    (University of Southern California)

  • Y. Q. Cheng

    (Oak Ridge National Laboratory)

  • W. R. Hicks

    (Oak Ridge National Laboratory)

  • A. I. Kolesnikov

    (Oak Ridge National Laboratory)

  • P. D. Vashishta

    (University of Southern California)

Abstract

Vibrational spectroscopy allows us to understand complex physical and chemical interactions of molecular crystals and liquids such as ammonia, which has recently emerged as a strong hydrogen fuel candidate to support a sustainable society. We report inelastic neutron scattering measurement of vibrational properties of ammonia along the solid-to-liquid phase transition with high enough resolution for direct comparisons to ab-initio simulations. Theoretical analysis reveals the essential role of nuclear quantum effects (NQEs) for correctly describing the intermolecular spectrum as well as high energy intramolecular N-H stretching modes. This is achieved by training neural network models using ab-initio path-integral molecular dynamics (PIMD) simulations, thereby encompassing large spatiotemporal trajectories required to resolve low energy dynamics while retaining NQEs. Our results not only establish the role of NQEs in ammonia but also provide general computational frameworks to study complex molecular systems with NQEs.

Suggested Citation

  • T. M. Linker & A. Krishnamoorthy & L. L. Daemen & A. J. Ramirez-Cuesta & K. Nomura & A. Nakano & Y. Q. Cheng & W. R. Hicks & A. I. Kolesnikov & P. D. Vashishta, 2024. "Neutron scattering and neural-network quantum molecular dynamics investigation of the vibrations of ammonia along the solid-to-liquid transition," Nature Communications, Nature, vol. 15(1), pages 1-12, December.
  • Handle: RePEc:nat:natcom:v:15:y:2024:i:1:d:10.1038_s41467-024-48246-9
    DOI: 10.1038/s41467-024-48246-9
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    1. Simon Batzner & Albert Musaelian & Lixin Sun & Mario Geiger & Jonathan P. Mailoa & Mordechai Kornbluth & Nicola Molinari & Tess E. Smidt & Boris Kozinsky, 2022. "E(3)-equivariant graph neural networks for data-efficient and accurate interatomic potentials," Nature Communications, Nature, vol. 13(1), pages 1-11, December.
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