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  • Currently displaying 301 - 320 of 3209 publications
The Multimodal Universe: Enabling Large-Scale Machine Learning with 100TB of Astronomical Scientific Data
TMU Collaboration, J Audenaert, M Bowles, BM Boyd, D Chemaly, B Cherinka, I Ciucă, M Cranmer, A Do, M Grayling, EE Hayes, T Hehir, S Ho, M Huertas-Company, KG Iyer, M Jablonska, F Lanusse, HW Leung, K Mandel, JR Martínez-Galarza, P Melchior, L Meyer, LH Parker, H Qu, J Shen, MJ Smith, C Stone, M Walmsley, JF Wu
(2024)
(link to publication)
Integrability of quantum dots
M Dunajski, A Maciejewski, M Przybylska
– Physics Letters Section B Nuclear Elementary Particle and High Energy Physics
(2024)
859,
139097
(doi: 10.1016/j.physletb.2024.139097)
The Well: a Large-Scale Collection of Diverse Physics Simulations for Machine Learning
R Ohana, M McCabe, L Meyer, R Morel, FJ Agocs, M Beneitez, M Berger, B Burkhart, K Burns, SB Dalziel, DB Fielding, D Fortunato, JA Goldberg, K Hirashima, Y-F Jiang, RR Kerswell, S Maddu, J Miller, P Mukhopadhyay, SS Nixon, J Shen, R Watteaux, BR-S Blancard, F Rozet, LH Parker, M Cranmer, S Ho
(2024)
(link to publication)
Dispersion relations of relativistic radiation hydrodynamics
L Gavassino
(2024)
(link to publication)
Charged Rotating Hairy Black Holes in AdS$_5 \times S^5$: Unveiling their Secrets
OJC Dias, P Mitra, JE Santos
(2024)
(link to publication)
There and Back Again: Mapping and Factorizing Cosmological Observables.
D Stefanyszyn, X Tong, Y Zhu
– Phys Rev Lett
(2024)
133,
221501
(doi: 10.1103/PhysRevLett.133.221501)
GPU-accelerated semicoherent hierarchical search for stellar-mass binary inspiral signals in LISA
D Bandopadhyay, CJ Moore
– Physical Review D
(2024)
110,
103026
(doi: 10.1103/PhysRevD.110.103026)
Non-Newtonian corrections to radiative viscosity: Israel-Stewart theory as a viscosity limiter
L Gavassino
(2024)
(link to publication)
Gapless nonhydrodynamic modes in relativistic kinetic theory
L Gavassino
– Physical Review Research
(2024)
6,
l042043
(doi: 10.1103/PhysRevResearch.6.L042043)
Does decoherence violate decoupling?
CP Burgess, T Colas, R Holman, G Kaplanek
(2024)
(link to publication)
Smooth extremal horizons are the exception, not the rule
GT Horowitz, JE Santos
(2024)
(link to publication)
Convergence of the hydrodynamic gradient expansion in relativistic kinetic theory
L Gavassino
– Physical Review D
(2024)
110,
094012
(doi: 10.1103/physrevd.110.094012)
Spinning Black Binaries in de Sitter Space.
ÓJC Dias, JE Santos, B Way
– Physical Review Letters
(2024)
133,
191401
(doi: 10.1103/physrevlett.133.191401)
Optimizing the Evolution of Perturbations in the $Λ$CDM Universe
S-F Chen, Z Vlah, M White
– Journal of Cosmology and Astroparticle Physics
(2024)
012
(doi: 10.1088/1475-7516/2024/11/012)
Accelerating Giant-impact Simulations with Machine Learning
C Lammers, M Cranmer, S Hadden, S Ho, N Murray, D Tamayo
– The Astrophysical Journal
(2024)
975,
228
(doi: 10.3847/1538-4357/ad7fe5)
The open effective field theory of inflation
SA Salcedo, T Colas, E Pajer
– Journal of High Energy Physics
(2024)
2024,
248
(doi: 10.1007/JHEP10(2024)248)
Hair is complicated: Gravitational waves from stable and unstable boson-star mergers
B-X Ge, EA Lim, U Sperhake, T Evstafyeva, D Cors, ED Jong, R Croft, T Helfer
(2024)
(link to publication)
Perturbative unitarity bounds from momentum-space entanglement
CD Pueyo, H Goodhew, C McCulloch, E Pajer
(2024)
(link to publication)
Expected insights into Type Ia supernovae from LISA’s gravitational wave observations
V Korol, R Buscicchio, R Pakmor, J Morán-Fraile, CJ Moore, SE de Mink
– Astronomy and Astrophysics
(2024)
691,
a44
(doi: 10.1051/0004-6361/202451380)
Computational complexity of deep learning: fundamental limitations and empirical phenomena
B Barak, A Carrell, A Favero, W Li, L Stephan, A Zlokapa
– Journal of Statistical Mechanics: Theory and Experiment
(2024)
2024,
104008
(doi: 10.1088/1742-5468/ad3a5b)

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