| |
Author |
Title |
Year |
Publication |
Volume |
Pages |
Links |
|
|
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 |
|
|
|
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 |
|
|
|
Villaescusa-Navarro, F. et al; Villanueva-Domingo, P. |
The CAMELS Project: Public Data Release |
2023 |
Astrophysical Journal Supplement Series |
265 |
54 - 14pp |
|
