3 papers
cs.LG2025
Gradient Enhanced Self-Training Physics-Informed Neural Network (gST-PINN) for Solving Nonlinear Partial Differential Equations
Narayan S Iyer, Bivas Bhaumik, Ram S Iyer +1
Partial differential equations (PDEs) provide a mathematical foundation for simulating and understanding intricate behaviors in both physical sciences and engineering. With the gro…
quant-ph2025
Quantum-Kaniadakis entropy as a measure of quantum correlations through implicit bounds
Narayan S Iyer, Shraddha Sharma
In the present article, we examine the relationship of negative conditional quantum Kaniadakis entropy (CQKE) with the fully entangled fraction (FEF) which is a substantial ya…
math-ph2025
Solutions And Gradient Of The Conformal Ricci Bourguignon Soliton On Vaidya Spacetime
Ayaan Abdur Rehman, Narayan S Iyer, Naeem Ahmed Pundeer
In this work, we derive the complete and explicit solution for the conformal Ricci-Bourguignon soliton on Vaidya spacetime. We provide the closed-form expression for the vector fie…