2024
  • T. Wolfgruber, M. Knöll, R. Roth
    Precise Neural Network Predictions of Energies and Radii from the No-Core Shell Model
    (12 pages)
  • 2023
  • M. Knöll, T. Wolfgruber, M.L. Agel, C. Wenz, R. Roth
    Machine Learning for the Prediction of Converged Energies from Ab Initio Nuclear Structure Calculations
    (8 pages)
  • 2022
  • P. Maris, R. Roth, E. Epelbaum, R. J. Furnstahl, J. Golak, K. Hebeler, T. Hüther, H. Kamada, H. Krebs, H. Le, Ulf-G. Meißner, J. A. Melendez, A. Nogga, P. Reinert, R. Skibinski, J. P. Vary, H. Witala, T. Wolfgruber
    Nuclear properties with semilocal momentum-space regularized chiral interactions beyond N2LO
    (20 pages)
  • 2021
  • P. Maris, E. Epelbaum, R. J. Furnstahl, J. Golak, K. Hebeler, T. Hüther, H. Kamada, H. Krebs, Ulf-G. Meißner, J. A. Melendez, A. Nogga, P. Reinert, R. Roth, R. Skibinski, V. Soloviov, K. Topolnicki, J. P. Vary, Yu. Volkotrub, H. Witala, T. Wolfgruber
    Light nuclei with semilocal momentum-space regularized chiral interactions up to third order
    (20 pages)
  • 2019
  • C. Stumpf, T. Wolfgruber, R. Roth
    Electromagnetic Strength Distributions from the Ab Initio No-Core Shell Model
    submitted to Phys. Lett. B
    (6 pages)