output
20032026
most citedCompact stars in gravity

194 citations

Showing 2025Show all

11 papers · 1 filter

cond-mat.mtrl-sci2025

From data to design: Random forest regression model for predicting mechanical properties of alloy steel

Samjukta Sinha, Prabhat Das

This study investigates the application of Random Forest Regression for predicting mechanical properties of alloy steel-Elongation, Tensile Strength, and Yield Strength-from materi…

nucl-ex2025★ 5 cited

A New Evidence of Interplay Between Tetrahedral and Octahedral Symmetries and Symmetry Breaking: Exotic Rotational Bands in Sm

S. Basak, D. Kumar, T. Bhattacharjee +30

We report on an experimental evidence for a new, second tetrahedral band in Sm. It was populated via fusion evaporation reaction, $^{150}{\rm Nd}(α, 2n)^…

gr-qc2025

Co-existence of alternative Generalized Chaplygin Gas and other Dark Energies in the Framework of Fractal Universe

Mahasweta Biswas, Rikpratik Sengupta, Ujjal Debnath

We have explored the possibility of the co-existence of two forms of dark energy in the form of an alternative Generalized Chaplygin Gas (GCG) along with a scalar field of field th…

astro-ph.GA2025★ 5 cited

Strong gravitational lensing by black hole in F(R) Euler Heisenberg Gravity's Rainbow

Sayan Naskar, Niyaz Uddin Molla, Ujjal Debnath

We investigate gravitational lensing in the strong-field regime for a black hole in F(R) Euler Heisenberg Gravity with Rainbow gravity modifications. This black hole spacetime is c…

gr-qc2025★ 1 cited

Compact Objects in 4D Einstein Gauss Bonnet Gravity A Data Based Perspective

Puja Mukherjee, Himanshu Chaudhary, Ujjal Debnath +1

Cosmic evolution is the most sensational topic among researchers of modern cosmology. This article explores cosmic evolution in 4D Einstein Gauss Bonnet gravity, focusing on mass a…

cond-mat.mtrl-sci2025★ 3 cited

Microstructural Studies Using Generative Adversarial Network (GAN): a Case Study

Owais Ahmad, Vishal Panwar, Kaushik Das +2

The generative adversarial network (GAN) is one of the most widely used deep generative models for synthesizing high-quality images with the same statistics as the training set. Fi…