Nuclear Theory III
ORAL · FM · ID: 15254
Presentations
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Eigenvector Continuation Emulators for Chiral EFT
ORAL
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Presenters
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Alberto Garcia
- Ohio State Univ - Columbus
Authors
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Alberto Garcia
- Ohio State Univ - Columbus
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Richard J Furnstahl
- Ohio State University
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Jordan A Melendez
- Ohio State Univ - Columbus
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Patrick J Millican
- Ohio State Univ - Columbus
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Xilin Zhang
- Ohio State Univ - Columbus
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Christian Drischler
- Michigan State University
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Bayesian analysis of an EFT for fermionic rotational bands
ORAL
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Presenters
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Ibrahim K Alnamlah
- Ohio University
Authors
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Ibrahim K Alnamlah
- Ohio University
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Eduardo A Coello Perez
- Lawrence Livermore Natl Lab
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Daniel R Phillips
- Ohio University
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Quantifying Uncertainties In Light-Ion Reactions
ORAL
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Presenters
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Konstantinos Kravvaris
- Lawrence Livermore Natl Lab
Authors
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Konstantinos Kravvaris
- Lawrence Livermore Natl Lab
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Sofia Quaglioni
- Lawrence Livermore Natl Lab
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Petr Navratil
- TRIUMF
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Kevin Quinlan
- Lawrence Livermore National Laboratory
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Uncertainty quantification of spectra and transitions in the nuclear shell-model
ORAL
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Publication: Phys. Rev. C 101, 054308 (2020)
Presenters
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Jordan M Fox
- San Diego State University
Authors
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Jordan M Fox
- San Diego State University
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Calvin W Johnson
- San Diego State Univ
- San Diego State University
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Rodrigo Navarro Perez
- San Diego State University
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Interpolating between small- and large-x expansions using Bayesian Model Mixing
ORAL
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Presenters
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Alexandra C Semposki
- Ohio University
Authors
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Alexandra C Semposki
- Ohio University
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Richard J Furnstahl
- Ohio State University
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Daniel R Phillips
- Ohio University
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Proton-neutron entanglement entropy in shell model calculations
ORAL
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Publication: Paper in preparation
Presenters
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Calvin W Johnson
- San Diego State Univ
- San Diego State University
Authors
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Calvin W Johnson
- San Diego State Univ
- San Diego State University
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Oliver C Gorton
- University of California, Irvine
- San Diego State University
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Comparison of Restricted Boltzmann Machines and Feedforward Neural Networks as Variational Ansätze for Quantum Many-Body Problems
ORAL
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Publication: Jane Kim, "Comparison of Restricted Boltzmann Machines and Feedforward Neural Networks as Variational Ansätze for Quantum Many-Body Problems", in preparation (2021).
Presenters
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Jane M Kim
- Michigan State University
Authors
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Jane M Kim
- Michigan State University
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Variational Monte Carlo calculations of atomic nuclei with an artificial neural-network correlator ansatz
ORAL
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Publication: 2007.14282 [nucl-th], Physical Review Letters (in press)
Presenters
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Alessandro Lovato
- Argonne National Laboratory
Authors
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Alessandro Lovato
- Argonne National Laboratory
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Corey Adams
- Argonne National Laboratory
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Giuseppe Carleo
- Ecole Polytechnique Federale de Lausanne
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Noemi Rocco
- Fermi National Accelerator Laboratory
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Applying Machine Learning to Many-Body Studies of Infinite Nuclear Matter
ORAL
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Presenters
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Julie L Butler
- Michigan State University
Authors
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Julie L Butler
- Michigan State University
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Morten Hjorth-Jensen
- Michigan State University
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Coulomb field correction due to virtual e+e− production in heavy ion collisions
ORAL
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Publication: Thomas Settlemyre, Aldo Bonasera, Hua Zheng. Coulomb field correction due to virtual e+e− production in heavy ion collisions. (Submitted 17 May 2021 to Nuclear Physics A)
Presenters
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Thomas Settlemyre
- Texas A&M University
Authors
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Thomas Settlemyre
- Texas A&M University
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Aldo Bonasera
- Texas A&M University
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Hua Zheng
- Shaanxi Normal University
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