Standout Papers

<i>Colloquium</i>: Machine learning in nuclear physics 2022 2026 2023 2024133
  1. Colloquium: Machine learning in nuclear physics (2022)
    A. Boehnlein, Markus Diefenthaler et al. Reviews of Modern Physics

Immediate Impact

4 standout
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Citing Papers

Machine Learning Aided Design and Optimization of Thermal Metamaterials
2024 Standout
Chiral perturbation theory for heavy hadrons and chiral effective field theory for heavy hadronic molecules
2023 Standout
2 intermediate papers

Works of Markus Diefenthaler being referenced

Colloquium: Machine learning in nuclear physics
2022 Standout
A.I. for nuclear physics
2021

Author Peers

Author Last Decade Papers Cites
Markus Diefenthaler 133 1 1 52 47 7 181
A. Boehnlein 118 3 1 57 45 6 169
V. Ziegler 103 2 1 37 32 7 182
Michelle Kuchera 190 2 4 101 62 15 264
Raditya Utama 229 2 108 87 7 279
C. Adams 77 2 1 24 17 9 146
C. Halliwell 189 8 2 17 15 11 212
M.L. Tincknell 177 2 4 70 17 9 217
M. Krämer 162 3 16 32 34 10 226
R. Prigl 116 4 91 36 48 9 264
X. Fei 77 1 80 16 31 4 174

All Works

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2026