Author |
Title |
Year |
Publication |
Volume |
Pages |
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 |
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 |
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 |
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 |
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 |
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 |
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 |
Aliaga, R.J.; Guirao, A.J. |
On the preserved extremal structure of Lipschitz-free spaces |
2019 |
Studia Mathematica |
245 |
1-14 |
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 |
Villaescusa-Navarro, F. et al; Villanueva-Domingo, P. |
The CAMELS Multifield Data Set: Learning the Universe's Fundamental Parameters with Artificial Intelligence |
2022 |
Astrophysical Journal Supplement Series |
259 |
61 - 14pp |