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Di Valentino, E.; Melchiorri, A.; Mena, O.; Pan, S.; Yang, W.Q. Interacting dark energy in a closed universe 2021 Monthly Notices of the Royal Astronomical Society 502 L23-L28 details   doi
Giare, W.; Di Valentino, E.; Melchiorri, A.; Mena, O. New cosmological bounds on hot relics: axions and neutrinos 2021 Monthly Notices of the Royal Astronomical Society 505 2703-2711 details   doi
Giare, W.; Renzi, F.; Melchiorri, A.; Mena, O.; Di Valentino, E. Cosmological forecasts on thermal axions, relic neutrinos, and light elements 2022 Monthly Notices of the Royal Astronomical Society 511 1373-1382 details   doi
Gammaldi, V.; Zaldivar, B.; Sanchez-Conde, M.A.; Coronado-Blazquez, J. A search for dark matter among Fermi-LAT unidentified sources with systematic features in machine learning 2023 Monthly Notices of the Royal Astronomical Society 520 1348-1361 details   doi
Giare, W.; Renzi, F.; Mena, O.; Di Valentino, E.; Melchiorri, A. Is the Harrison-Zel'dovich spectrum coming back? ACT preference for n(s) similar to 1 and its discordance with Planck 2023 Monthly Notices of the Royal Astronomical Society 521 2911-2918 details   doi
Schiavone, T.; Montani, G.; Bombacigno, F. f(R) gravity in the Jordan frame as a paradigm for the Hubble tension 2023 Monthly Notices of the Royal Astronomical Society 522 L72-L77 details   doi
de los Rios, M.; Petac, M.; Zaldivar, B.; Bonaventura, N.R.; Calore, F.; Iocco, F. Determining the dark matter distribution in simulated galaxies with deep learning 2023 Monthly Notices of the Royal Astronomical Society 525 6015-6035 details   doi
SCiMMA and SNEWS Collaborations (Baxter, A.L. et al); Colomer, M. Collaborative experience between scientific software projects using Agile Scrum development 2022 Software-Practice & Experience 52 2077-2096 details   doi
Aliaga, R.J.; Guirao, A.J. On the preserved extremal structure of Lipschitz-free spaces 2019 Studia Mathematica 245 1-14 details   doi
Ferrer-Sanchez, A.; Martin-Guerrero, J.; Ruiz de Austri, R.; Torres-Forne, A.; Font, J.A. Gradient-annihilated PINNs for solving Riemann problems: Application to relativistic hydrodynamics 2024 Computer Methods in Applied Mechanics and Engineering 424 116906 - 18pp details   doi
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