Neural network reconstruction of H'(z) and its application in teleparallel gravity
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Publication:5878855
DOI10.1088/1475-7516/2022/12/029OpenAlexW4312052547MaRDI QIDQ5878855
Purba Mukherjee, Jurgen Mifsud, Jackson Levi Said
Publication date: 23 February 2023
Published in: Journal of Cosmology and Astroparticle Physics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1088/1475-7516/2022/12/029
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- Teleparallel gravity. An introduction
- \(f(R)\) theories
- Dark energy cosmology: the equivalent description via different theoretical models and cosmography tests
- New general relativity
- <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"><mml:mrow><mml:mi>f</mml:mi><mml:mrow><mml:mo>(</mml:mo><mml:mi>R</mml:mi><mml:mo>)</mml:mo></mml:mrow></mml:mrow></mml:math>theories of gravity
- The cosmological constant and dark energy
- Modified Gravity and Cosmology
- DYNAMICS OF DARK ENERGY
- Neural Networks and Deep Learning
- Gravity and Strings
- Extended gravity cosmography
- Reconstructing teleparallel gravity with cosmic structure growth and expansion rate data
- A data-driven reconstruction of Horndeski gravity via the Gaussian processes
- A deep learning approach to cosmological dark energy models
- Teleparallel theories of gravity: illuminating a fully invariant approach
- Cosmological viable models in f ( T , B ) theory as solutions to the H 0 tension
- Constraining teleparallel gravity through Gaussian processes
- Measurements of Ω and Λ from 42 High‐Redshift Supernovae
- Inflationary universe: A possible solution to the horizon and flatness problems
- The cosmological constant problem
- The covariant formulation of f ( T ) gravity
- No further gravitational wave modes in \(F(T)\) gravity
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