Nicolás Rodrigo Murúa

Mr. Nicolás Rodrigo Murúa

orcid

Research Focus & Metrics

Academic Career Length

3Years (2024-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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22 May 2024 in Energies
Verified
Journal Article
Open access
PDF file
Anibal CoronelAnibal Coronel
Anibal Coronel
ELEsperanza Lozada
Esperanza Lozada
SBStefan Berres
Stefan Berres
FSFernando Huancas Suárez
Fernando Huancas Suárez
NMNicolás Rodrigo Murúa
Nicolás Rodrigo Murúa
In this article, we propose a mathematical model for one-dimensional heat conduction in a three-layered solid considering that an interfacial condition is present for the temperature and heat flux conditions between the layers. The numerical approach is developed by constructing a finite difference scheme to solve the initial boundary–interface problem. The numerical scheme is designed by considering the accuracy of the model on the inner part of each layer, then extending to the interfaces and boundaries by incorporating the continuous interfacial conditions. The finite difference scheme is unconditionally stable, convergent, and easy to implement since it consists of the solution of two algebraic systems. We provide three numerical examples to confirm that our numerical approximation is consistent with the analytical solution and the physical phenomenon.

9 November 2024 in Mathematics
Verified
Journal Article
Open access
PDF file
NMNicolás Rodrigo Murúa
Nicolás Rodrigo Murúa
Anibal CoronelAnibal Coronel
Anibal Coronel
AHALEX TELLO HAUNCA
ALEX TELLO HAUNCA
SBStefan Berres
Stefan Berres
FSFernando Huancas Suárez
Fernando Huancas Suárez
In this paper, we consider the finite difference approximation for a one-dimensional mathematical model of heat conduction in a three-layered solid with interfacial conditions for temperature and heat flux between the layers. The finite difference scheme is unconditionally stable, convergent, and equivalent to the solution of two linear algebraic systems. We evaluate various methods for solving the involved linear systems by analyzing direct and iterative solvers, including GPU-accelerated approaches using CuPy and PyCUDA. We evaluate performance and scalability and contribute to advancing computational techniques for modeling complex physical processes accurately and efficiently.

20 January 2026 in Computational Biology and Chemistry
Verified
Journal Article
Closed access
NMNicolás Rodrigo Murúa
Nicolás Rodrigo Murúa
Anibal CoronelAnibal Coronel
Anibal Coronel
Gastón MárquezGastón Márquez
Gastón Márquez