Motta, VerónicaGarcía-Aspeitia, Miguel A.Hernández-Almada, AlbertoMagaña, JuanVerdugo, Tomás2022-11-302022-11-302021Motta, V.; García-Aspeitia, M.A.; Hernández-Almada, A.; Magaña, J.; Verdugo, T. Taxonomy of Dark Energy Models. Universe 2021, 7, 163. https://doi.org/10.3390/universe7060163http://repositoriobibliotecas.uv.cl/handle/uvscl/7456The accelerated expansion of the Universe is one of the main discoveries of the past decades, indicating the presence of an unknown component: the dark energy. Evidence of its presence is being gathered by a succession of observational experiments with increasing precision in its measurements. However, the most accepted model for explaining the dynamic of our Universe, the so-called Lambda cold dark matter, faces several problems related to the nature of such energy component. This has led to a growing exploration of alternative models attempting to solve those drawbacks. In this review, we briefly summarize the characteristics of a (non-exhaustive) list of dark energy models as well as some of the most used cosmological samples. Next, we discuss how to constrain each model’s parameters using observational data. Finally, we summarize the status of dark energy modeling.All articles published by MDPI are made immediately available worldwide under an open access license.DARK ENERGYMODIFIED GRAVITYCOSMOLOGYArticulohttps://doi.org/10.3390/universe7060163