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Publication search results
found 166 matches
- 2024
- Marius-F. Danca:
Chaotic hidden attractor in a fractional order system modeling the interaction between dark matter and dark energy. Commun. Nonlinear Sci. Numer. Simul. 131: 107838 (2024) - Marco Palmiotto, Alexandre Arbey, Farvah Mahmoudi:
DarkPACK: A modular software to compute BSM squared amplitudes for particle physics and dark matter observables. Comput. Phys. Commun. 294: 108905 (2024) - Juan F. Hernández-Cabrera, Javier De Miguel-Hernández, Enrique Joven Álvarez, E. Hernández-Suárez, José Alberto Rubiño-Martín, Chiko Otani:
A Forecast of the Sensitivity of the DALI Experiment to Galactic Axion Dark Matter. Symmetry 16(2): 163 (2024) - Marcin Misiaszek, Nicola Rossi:
Direct Detection of Dark Matter: A Critical Review. Symmetry 16(2): 201 (2024) - Denis Kotkov, Alan Medlar, Triin Kask, Dorota Glowacka:
The Dark Matter of Serendipity in Recommender Systems. CHIIR 2024: 108-118 - Martin R. Albrecht, Alex Davidson, Amit Deo, Daniel Gardham:
Crypto Dark Matter on the Torus - Oblivious PRFs from Shallow PRFs and TFHE. EUROCRYPT (6) 2024: 447-476 - Neslihan Suzen, Evgeny M. Mirkes, Damian Roland, Jeremy Levesley, Alexander N. Gorban, Timothy J. Coats:
What is Hiding in Medicine's Dark Matter? Learning with Missing Data in Medical Practices. CoRR abs/2402.06563 (2024) - 2023
- Jose María García-Barceló, Alejandro Álvarez-Melcón, Sergio Arguedas Cuendis, Alejandro Díaz-Morcillo, Benito Gimeno, A. Kanareykin, Antonio Jose Lozano-Guerrero, Pablo Navarro, Walter Wuensch:
On the Development of New Tuning and Inter-Coupling Techniques Using Ferroelectric Materials in the Detection of Dark Matter Axions. IEEE Access 11: 30360-30372 (2023) - Víctor Martín Lozano, Rosa María Sandá Seoane, Jose Manuel Zurita:
Z′-explorer 2.0: Reconnoitering the dark matter landscape. Comput. Phys. Commun. 288: 108729 (2023) - Petr Jizba, Gaetano Lambiase:
Constraints on Tsallis Cosmology from Big Bang Nucleosynthesis and the Relic Abundance of Cold Dark Matter Particles. Entropy 25(11): 1495 (2023) - Tibor Dome:
CosmicProfiles: A Python package for radial profiling of finitely sampled dark matter halos and galaxies. J. Open Source Softw. 8(86): 5008 (2023) - Yejin Choi:
Common Sense: the Dark Matter of Language and Intelligence. Proc. VLDB Endow. 16(12): 4139 (2023) - Marcin Badziak, Giovanni Grilli di Cortona, Keisuke Harigaya, Michal Lukawski:
Twin Supersymmetric Dark Matter in Light of the First LZ Results. Symmetry 15(2): 386 (2023) - Timur Bikbaev, Maxim Khlopov, Andrey Mayorov:
Numerical Modeling of the Interaction of Dark Atoms with Nuclei to Solve the Problem of Direct Dark Matter Search. Symmetry 15(12): 2182 (2023) - Giovanni Cantatore, Serkant A. Çetin, Horst Fischer, Wolfgang Funk, Marin Karuza, Abaz Kryemadhi, Marios Maroudas, Kaan Özbozduman, Yannis K. Semertzidis, Konstantin Zioutas:
Dark Matter Detection in the Stratosphere. Symmetry 15(6): 1167 (2023) - Antonio Capolupo, Aniello Quaranta, Raoul Serao:
Field Mixing in Curved Spacetime and Dark Matter. Symmetry 15(4): 807 (2023) - Anish Ghoshal, Gaetano Lambiase, Supratik Pal, Arnab Paul, Shiladitya Porey:
Post-Inflationary Production of Dark Matter after Inflection Point Slow Roll Inflation. Symmetry 15(2): 543 (2023) - Zhaoxia Heng, Shenshen Yang, Xingjuan Li, Liangliang Shang:
The Phenomenological Research on Higgs and Dark Matter in the Next-to-Minimal Supersymmetric Standard Model. Symmetry 15(2): 456 (2023) - Leonard S. Kisslinger:
Editorial of Low Energy Nuclear Astrophysics and Sterile Neutrinos as Dark Matter. Symmetry 15(4): 904 (2023) - Mohieddine Rahmouni:
Dark Data: Why What You Don't Know Matters: by David J. Hand, Princeton, NJ: Princeton University Press, 2020, xii + 330 pp., ISBN 9780691182377. Technometrics 65(1): 129-131 (2023) - Yejin Choi:
Common Sense: The Dark Matter of Language and Intelligence. AAMAS 2023: 2 - Neslihan Suzen, Evgeny M. Mirkes, Damian Roland, Jeremy Levesley, Alexander N. Gorban, Timothy J. Coats:
What is Hiding in Medicine's Dark Matter? Learning with Missing Data in Medical Practices. IEEE Big Data 2023: 4979-4986 - Jyotirmaya Shivottam, Subhankar Mishra:
DeepHalo - Finding Dark Matter Halo Substructure Using Deep Learning. COMAD/CODS 2023: 288 - Miguel Conceição, Alberto Krone-Martins, Antonio da Silva:
Emulating Hydrodynamics from Dark Matter 3D Density Fields. e-Science 2023: 1-2 - Xing Chen, Yasushi Kiyoki:
A Knowledge Model Based on "Dark-Matter" and Parallel Spaces. EJC 2023: 271-286 - Zhenyu Dai, Ben Moews, Ricardo Vilalta, Romeel Dave:
Physics-informed neural networks in the recreation of hydrodynamic simulations from dark matter. CoRR abs/2303.14090 (2023) - Luisa Lucie-Smith, Hiranya V. Peiris, Andrew Pontzen:
Explaining dark matter halo density profiles with neural networks. CoRR abs/2305.03077 (2023) - Akhil Arora, Robert West, Martin Gerlach:
Orphan Articles: The Dark Matter of Wikipedia. CoRR abs/2306.03940 (2023) - Pinku Routaray, H. C. Das, Jeet Amrit Pattnaik, Bharat Kumar:
Dark Matter Admixed Neutron Star in the light of HESS J1731-347 and PSR J0952-0607. CoRR abs/2307.12748 (2023) - Davide Piras, Lucas Lombriser:
A representation learning approach to probe for dynamical dark energy in matter power spectra. CoRR abs/2310.10717 (2023)
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