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20232026
most citedEnhancing Arterial Blood Flow Simulations through Physics-Informed Neural Networks

2 citations · 2 across the 5 of their papers we have counts for

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5 papers

math.NA2026

Nonlinear Parareal-Incomplete OSWR Method for the Coupled Reaction-Diffusion System: Convergence Analysis and Computational Strategies

Gobinda Garai, Nagaiah Chamakuri

This paper presents a development of a nonlinear extension of the Parareal-Incomplete Optimized Schwarz Waveform Relaxation (OSWR) method, aimed at efficiently simulating coupled r…

math.NA2026

Exp-ParaDiag: Time-Parallel Exponential Integrators for Parabolic PDEs

Gobinda Garai, Nagaiah Chamakuri

This paper introduces Exp-ParaDiag, a novel time-parallel method that combines the strength of exponential integrators into the ParaDiag framework. We develop and analyze Exp-ParaD…

math.NA2025

On conservative, stable boundary and coupling conditions for diffusion equations I -- The conservation property for explicit schemes

Taj Munir, Nagaiah Chamakuri, Gerald Warnecke

This paper introduces improved numerical techniques for addressing numerical boundary and interface coupling conditions in the context of diffusion equations in cellular biophysics…

math.NA2024★ 2 cited

Enhancing Arterial Blood Flow Simulations through Physics-Informed Neural Networks

Shivam Bhargava, Nagaiah Chamakuri

This study introduces a computational approach leveraging Physics-Informed Neural Networks (PINNs) for the efficient computation of arterial blood flows, particularly focusing on s…

math.NA2023

Reliable A Posteriori Error Estimator for a Multi-scale Cancer Invasion Model

Gopika P. B., Nishant Ranwan, Nagaiah Chamakuri

In this work, we analyze the residual-based a posteriori error estimation of the multi-scale cancer invasion model, which is a system of three non-stationary reaction-diffusion equ…