July 09, 2019 article Open access Distinguishing standard and modified gravity cosmologies with machine learning Physical review. D/Physical review. D. DOI: 10.1103/physrevd.100.023508 Full text (OA) OpenAlex Authors 0 Author list not loaded yet. Cited by 4 stored of 68 Search Sort Most cited Newest Oldest Patent citations Title Any typearticle review book-chapter conference-paper preprint dissertation book dataset other Any fieldAgricultural and Biological Sciences Arts and Humanities Biochemistry, Genetics and Molecular Biology Business, Management and Accounting Chemical Engineering Chemistry Computer Science Decision Sciences Dentistry Earth and Planetary Sciences Economics, Econometrics and Finance Energy Engineering Environmental Science Health Professions Immunology and Microbiology Materials Science Mathematics Medicine Neuroscience Nursing Pharmacology, Toxicology and Pharmaceutics Physics and Astronomy Psychology Social Sciences Veterinary Open access Euclid : Constraints on f(R) cosmologies from the spectroscopic and photometric primary probes 2025 Astronomy and Astrophysics article Physics and Astronomy Cosmology and Gravitation Theories Open access 6 citations Euclid : Constraints on f(R) cosmologies from the spectroscopic and photometric primary probes 2025 Astronomy and Astrophysics article Physics and Astronomy Cosmology and Gravitation Theories Open access 12 citations Euclid preparation 2024 Astronomy and Astrophysics article Physics and Astronomy Cosmology and Gravitation Theories Open access 5 citations Clusternets: a deep learning approach to probe clustering dark energy 2024 Monthly Notices of the Royal Astronomical Society article Physics and Astronomy Cosmology and Gravitation Theories Open access 3 citations 4 results References 0