Full spin modeling and efficient mapping of the high dimensional Hamiltonian in Dy2Ti2O7

ORAL

Abstract

Precise modeling of a material is a key to understand its underlying interactions and physics but also revealing the competing phases in the nearby interaction space. Highly frustrated systems are important due to the richness in physics and diversity of phases including spin liquids with exotic topological states they display. Here, we present a machine learning workflow to fit multi-experimental datasets to find an optimal Hamiltonian while undertaking phase classification and extracting information about the topography around the region of interest. Experimental data from a spin-ice material, Dy2Ti2O7 including diffuse neutron scattering, heat capacity, and susceptibility are utilized. This approach is shown to provide the best model in an efficient and effective way but also is powerful at planning the best experimental strategies.

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Presenters

  • Anjana Samarakoon

    NSCD, Oak Ridge National Lab, Neutron Scattering Division, Oak Ridge National Laboratory

Authors

  • Anjana Samarakoon

    NSCD, Oak Ridge National Lab, Neutron Scattering Division, Oak Ridge National Laboratory

  • David Tennant

    MSTD, Oak Ridge National Laboratory, Oak Ridge National Laboratory, Materials Science and Technology Division, Oak Ridge National Laboratory

  • Cristian Batista

    Department of Physics & Astronomy, University of Tennessee, Knoxville, TN 37996, USA, Department of Physics and Astronomy, The University of Tennessee, University of Tennessee, Department of Physics and Astronomy, University of Tennessee, Department of Physics, University of Tennessee

  • Qiang Zhang

    Louisiana State University & Oak Ridge National Laboratory (current affiliation), Neutron Scattering Division, Oak Ridge National Laboratory

  • Feng Ye

    Quantum Condensed Matter Division, Oak Ridge National Laboratory, Neutron Scattering Division, Oak Ridge National LaboratoryOak Ridge, Tennessee 37381, USA, Quantum Condensed Matter Division, Oak Ridge National Laboratory, TN 37831, Oak Ridge National Laboratory, Neutron Scattering Division, Oak Ridge National Laboratory

  • Haidong Zhou

    University of Tennessee, Department of Physics and Astronomy, University of Tennessee, University of Tennessee, Knoxville, Physics, University of Tennessee, Knoxville, TN, United States, Physics, University of Tennessee, Department of Physics and Astronomy, The University of Tennessee, Knoxville, Department of Physics and Astronomy, University of Tennessee, Knoxville, Department of Physics, University of Tennessee

  • Markus Eisenbach

    National Center for Computational Sciences, Oak Ridge National Laboratory, Oak Ridge National Laboratory, National Center of Computational Sciences, Oak Ridge National Laboratory, Oak Ridge Natioinal Laboratory

  • Kipton Barros

    Theoretical Division, Los Alamos National Laboratory

  • Santiago Grigera

    CONICET La Plata Argentina, School of Physics and Astronomy, University of St Andrews

  • Ying Wai Li

    National Center for Computational Sciences, Oak Ridge National Laboratory, Oak Ridge National Laboratory, National Center of Computational Sciences, Oak Ridge National Laboratory

  • Zhiling Dun

    School of Physics, Georgia Institute of Technology, Georgia Institute of Technology, School of Physics, Georgia Tech, University of Tennessee, Department of Physics, University of Tennessee