299 citations · 411 across the 9 of their papers we have counts for
9 papers
Interacting fluid cosmologies from the metric-affine framework
Fotios K. Anagnostopoulos, Damianos Iosifidis
Metric-affine gravity provides a natural geometric framework in which spacetime curvature, torsion, and non-metricity are treated as independent degrees of freedom, leading to nove…
Early- and late-time constraints on Wald-Gauss-Bonnet topological dark energy and implications for the and tensions
Stylianos A. Tsilioukas, Fotios K. Anagnostopoulos, Spyros Basilakos +2
The persistent and tensions motivate the search for new dark-energy mechanisms capable of modifying the late-time expansion history while preserving the successful earl…
Training Deep Physics-Informed Kolmogorov-Arnold Networks
Spyros Rigas, Fotios Anagnostopoulos, Michalis Papachristou +1
Since their introduction, Kolmogorov-Arnold Networks (KANs) have been successfully applied across several domains, with physics-informed machine learning (PIML) emerging as one of…
Topological dark energy from spacetime foam: A challenge for CDM
Fotios K. Anagnostopoulos, Stylianos A. Tsilioukas, Emmanuel N. Saridakis
Using only the standard considerations of spacetime foam and the Euclidean Quantum Gravity techniques known long ago, we result to a model of Topological Dark Energy (TDE) that com…
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.…
Observational implications of Wald-Gauss-Bonnet topological dark energy
Maria Petronikolou, Fotios K. Anagnostopoulos, Stylianos A. Tsilioukas +2
We investigate the observational implications of Wald--Gauss--Bonnet (WGB) topological dark energy, a modified cosmological framework derived from the gravity-thermodynamics conjec…
Adaptive Training of Grid-Dependent Physics-Informed Kolmogorov-Arnold Networks
Spyros Rigas, Michalis Papachristou, Theofilos Papadopoulos +2
Physics-Informed Neural Networks (PINNs) have emerged as a robust framework for solving Partial Differential Equations (PDEs) by approximating their solutions via neural networks a…
Observational constraints on extended Proca-Nuevo gravity and cosmology
Fotios K. Anagnostopoulos, Emanuel N. Saridakis
We confront massive Proca-Nuevo gravity with cosmological observations. The former is a non-linear theory involving a massive spin-1 field, that can be extended incorporating opera…
White Paper and Roadmap for Quantum Gravity Phenomenology in the Multi-Messenger Era
R. Alves Batista, G. Amelino-Camelia, D. Boncioli +101
The unification of quantum mechanics and general relativity has long been elusive. Only recently have empirical predictions of various possible theories of quantum gravity been put…