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20242026
most citedPrimordial black holes as cosmic expansion accelerators

8 citations · 8 across the 2 of their papers we have counts for

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8 papers

gr-qc2026

Inflation driven by repulsive-like primordial black holes

Konstantinos Dialektopoulos, Theodoros Papanikolaou, Vasilios Zarikas

We review a new natural inflationary mechanism operated by repulsive-like primordial black holes (PBHs). In particular, working within the ``Swiss - Cheese" cosmological framework,…

gr-qc20258 cited

Primordial black holes as cosmic expansion accelerators

Konstantinos Dialektopoulos, Theodoros Papanikolaou, Vasilios Zarikas

We propose a novel and natural mechanism for cosmic acceleration driven by primordial black holes (PBHs) exhibiting repulsive behavior. Using a new ``Swiss Cheese'' cosmological ap…

gr-qc2025

Primordial black hole driven cosmic acceleration

Konstantinos Dialektopoulos, Theodoros Papanikolaou, Vasilios Zarikas

We propose a natural mechanism for cosmic acceleration driven by primordial black holes (PBHs) with repulsive behavior, within a ''Swiss Cheese'' cosmological framework. Considerin…

astro-ph.CO2025

The CosmoVerse White Paper: Addressing observational tensions in cosmology with systematics and fundamental physics

Eleonora Di Valentino, Jackson Levi Said, Adam Riess +533

The standard model of cosmology has provided a good phenomenological description of a wide range of observations both at astrophysical and cosmological scales for several decades.…

gr-qc2025

Renormalization Group-Improved Gravitational Action: A Lagrangian Framework

Alfio Bonanno, Konstantinos F. Dialektopoulos, Vasilios Zarikas

A new approach for embedding the renormalization group running of Newton's constant and cosmological constant in gravity is proposed. This approach is based on a gravitational Lagr…

astro-ph.CO2024

Dark energy reconstruction analysis with artificial neural networks: Application on simulated Supernova Ia data from Rubin Observatory

Ayan Mitra, Isidro Gómez-Vargas, Vasilios Zarikas

In this paper, we present an analysis of Supernova Ia (SNIa) distance moduli and dark energy using an Artificial Neural Network (ANN) reconstruction based on LSST simulated…