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Physical Review D

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J. High Energ. Phys. (2)Phys. Rev. D (1)Symmetry (1)

Articles Citing

Hamiltonian neural network approach to fuzzball geodesics

Andrea Cipriani ^1,2,*, Alessandro De Santis ^2,3,4,†, Giorgio Di Russo ^2,5,‡, Alfredo Grillo^1,2,§, and Luca Tabarroni ^1,2,∥

¹Dipartimento di Fisica, Università di Roma Tor Vergata, Via della Ricerca Scientifica 1, 00133 Roma, Italia
²Sezione INFN Roma 2, Via della Ricerca Scientifica 1, 00133 Roma, Italia
³Helmholtz-Institut Mainz, Johannes Gutenberg-Universität Mainz, 55099 Mainz, Germany
⁴GSI Helmholtz Centre for Heavy Ion Research, 64291 Darmstadt, Germany
⁵School of Fundamental Physics and Mathematical Sciences, Hangzhou Institute for Advanced Study, UCAS, Hangzhou 310024, China

^*Contact author: andrea.cipriani@roma2.infn.it
^†Contact author: desantia@uni-mainz.de
^‡Contact author: gdr794@ucas.ac.cn
^§Contact author: alfredo.grillo89@gmail.com
^∥Contact author: luca.tabarroni@roma2.infn.it

Reinforcement Learning Techniques for the Flavor Problem in Particle Physics

Alessio Giarnetti and Davide Meloni

Symmetry 18 131 (2026)

Machine learning the 6d supergravity landscape

Nathan Brady, David Tennyson, and Thomas Vandermeulen

J. High Energ. Phys. 2026 12 (2026)

Rotating Topological Stars

Massimo Bianchi, Giuseppe Dibitetto, Jose F. Morales, and Alejandro Ruipérez

J. High Energ. Phys. 2026 46 (2026)

There and back again: Outspiraling motion in non-Kerr compact objects

Manuel O. Mariano and C. A. R. Herdeiro

Phys. Rev. D 112 124067 (2025)

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ISSN 2470-0029 (online), 2470-0010 (print).

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