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Advancing Few-Body Calculations with AI/ML Techniques

INVITED · APR-D05 · ID: 2683808

Presentations

  • Simulations of light nuclei with neutral network wave functions

    ORAL · Invited

    –

    Publication: A. Gnech, B. Fore, A.J. Tropiano, A. Lovato, Physical Review Letters 133 (14), 142501

    Presenters

    • Alex Gnech

      Old Dominion Univ/Jefferson Lab

    Authors

    • Alex Gnech

      Old Dominion Univ/Jefferson Lab

    • Bryce Fore

      Argonne National Laboratory, Argonne National Lab

    • Anthony J Tropiano

      Argonne National Laboratory

    • Alessandro Lovato

      Argonne National Laboratory

    View abstract →

  • Neural network representations of fermionic ground and excited states

    ORAL · Invited

    –

    Publication: J. Kim, G. Pescia, B. Fore, J. Nys, G. Carleo, S. Gandolfi, M. Hjorth-Jensen, and A. Lovato, Commun. Phys. 7, 148 (2024).<br>B. Fore, J. Kim, M. Hjorth-Jensen, and A. Lovato, arXiv:2407.21207 (2024).<br>J. Kim, C. Drischler, and A. Lovato, manuscript in preparation.

    Presenters

    • Jane M Kim

      Ohio University

    Authors

    • Jane M Kim

      Ohio University

    • Gabriel M Pescia

      Center for Quantum Science and Engineering, École Polytechnique Fédérale de Lausanne (EPFL), CH-1015 Lausanne, Switzerland, École Polytechnique Fédérale de Lausanne

    • Jannes Nys

      Institute of Physics, École Polytechnique Fédérale de Lausanne (EPFL), CH-1015 Lausanne, Switzerland, École Polytechnique Fédérale de Lausanne, Ecole Polytechnique Fédérale de Lausanne, ETH Zürich

    • Christian Drischler

      Ohio University, Facility for Rare Isotope Beams, Michigan State University

    • Alessandro Lovato

      Argonne National Laboratory

    • Bryce Fore

      Argonne National Laboratory, Argonne National Lab

    • Morten Hjorth-Jensen

      Facility for Rare Isotope Beams, Michigan State University, University of Oslo, Facility for Rare Isotope Beams, Michigan State University

    • Giuseppe Carleo

      Institute of Physics, École Polytechnique Fédérale de Lausanne (EPFL), CH-1015 Lausanne, Switzerland, École Polytechnique Fédérale de Lausanne, Ecole Polytechnique Federale de Lausanne, Ecole Polytechnique Fédérale de Lausanne, Ecole Polytechnique Fédérale de Lausanne (EPFL)

    • Stefano Gandolfi

      Los Alamos National Laboratory

    View abstract →

  • Emulators and Artificial Neural Networks in Computational Quantum Continuum Physics

    ORAL · Invited

    –

    Publication: Xilin Zhang, A non-Hermitian quantum mechanics approach for extracting and emulating continuum physics based on bound-state-like calculations: technical details, [arXiv: 2411.06712].<br>Xilin Zhang, A non-Hermitian quantum mechanics approach for extracting and emulating continuum physics based on bound-state-like calculations, [arXiv: 2408.03309].<br>X. Zhang and R. J. Furnstahl, Fast emulation of quantum three-body scattering, Phys. Rev. C 105., no.6, 064004 (2022) [arXiv:2110.04269 ].<br>R. J. Furnstahl, A. J. Garcia, P. J. Millican and X. Zhang, Efficient emulators for scattering using eigenvector continuation, Phys. Lett. B 809, 135719 (2020) [arXiv:2007.03635 ].<br>J. A. Melendez, C. Drischler, R. J. Furnstahl, A. J. Garcia and X. Zhang, Model reduction methods for nuclear emulators, J. Phys. G 49, no.10, 102001 (2022) [arXiv:2203.05528].<br> C. Drischler, J. A. Melendez, R. J. Furnstahl, A. J. Garcia and X. Zhang, BUQEYE guide to projection-based emulators in nuclear physics, Front. in Phys. 10, 1092931 (2022) [arXiv:2212.04912].

    Presenters

    • Xilin Zhang

      FRIB, Michigan State University

    Authors

    • Xilin Zhang

      FRIB, Michigan State University

    View abstract →