Mathura
Uttar Pradesh
India
GLA University
Homotopy Perturbation Method, New Homotopy Perturbation Method, wave equation, Helmholtz equation, Fisher equation
Multiverse \sep Holography \sep Cosmological constant \sep Dark energy \sep Tsallis entropy
$f(R, \mathcal{L}_{m})$ gravity \sep flat FLRW space-time \sep EOS parameter \sep Observational constraints \sep Energy conditions
Drake equation, Fuzzy analysis, Dirac's large number hypothesis, consciousness, cognitive astrobiology
Drake equation, extraterrestrial intelligence, parameter estimations, Fuzzy analysis
Modified gravity \sep neutron stars \sep dark energy stars \sep mass gap \sep GW190814 event
FRW Cosmology, Bulk Viscosity, Modified Chaplygin Gas, Hubble Data
FRW cosmology, bulk viscosity, modified Chaplygin gas, Hubble data
Gravitational decoupling, Complexity factor, Neutron stars, Dark Matter, GW echoes
Casimir Wormhole, Traversable Wormhole, f(Q, T) Gravity, Energy Conditions
H-R diagram, bibliometric analysis, astrochemistry, astrophysics
Gravitational decoupling, Complexity Factor, Neutron Stars
general relativity, gravastar, dark energy, equation of state
singularity \sep equation of state \sep phantom energy
$f(Q)$ gravity, statefinder parameter, Chaplygin gas, Dark energy
Black hole, circular orbit, particle motion, quasi-periodic oscillation
Black holes, Circular orbits, particle motion, quasi-periodic oscillations, dark matter halo
Extended Chaplygin gas, higher dimension, Holographic Dark Energy, entropy
redshift function, stability, dark matter, dark radiation
$f(R, \mathcal{L}_{m})$ gravity, logarithm EOS parameter, cosmological parameters, energy conditions.
Multi-wavelength, AGN, host-galaxy evolution, Cosmic-Noon
charged black holes, inverse electrodynamics, circular orbits, periastron precession
structure - dark matterUniversal rotation curveWormhole
Bianchi I spacetime, General Relativity, observational constraints, machine learning techniques
f(R) gravity, Observational constraints, Transition redshift, Bayesian Analysis
Rastall theory, dark energy, dark energy model, data analysis, energy conditions
Machine Learning, Polynomial regression, ANN, Linear regression with RANSAC
