On sentinel method of one-phase Stefan problem
Keywords:
Sentinel method, Approximate controllability, Stefan’s problemAbstract
This paper is interested in studying the one-phase Stefan problem. For this purpose, we use the nonlinear sentinel method, which relies typically on the approximate controllability and the Fanchel-Rockafellar duality of the minimization problem, to prove the existence and uniqueness of a solution to this problem. In particular, our research focuses on the application of the nonlinear sentinel method to the single-phase Stefan problem. This approach aids in identifying an unspecified boundary section within the domain undergoing a liquid-solid phase transition. We track the evolution of the temperature profile in the liquid-solid material and the corresponding movement of its interface over time. Eventually, the local convergence used for the iterative numerical scheme is demonstrated.
Published
How to Cite
Issue
Section
Copyright (c) 2023 Merabti Nesrine Lamya, Iqbal M. Batiha, Imad Rezzoug, Adel Ouannas, Taki-Eddine Ouassaeif

This work is licensed under a Creative Commons Attribution 4.0 International License.
How to Cite
Similar Articles
- Pragati, Rajneesh Kumar, Sachin Kaushal, Effect of a moving thermal load in a modified couple stress medium with double porosity and hyperbolic two-temperature theory , Journal of the Nigerian Society of Physical Sciences: Volume 8, Issue 1, February 2026
- E. Omugbe, M. Abu-Shady, E. P. Inyang, Approximate bound state solutions of the fractional Schr\"{o}dinger equation under the spin-spin-dependent Cornell potential , Journal of the Nigerian Society of Physical Sciences: Volume 6, Issue 1, February 2024
- O. G. Obadina, Adedayo Funmi Adedotuun, O. A. Odusanya, Ridge Estimation's Effectiveness for Multiple Linear Regression with Multicollinearity: An Investigation Using Monte-Carlo Simulations , Journal of the Nigerian Society of Physical Sciences: Volume 3, Issue 4, November 2021
- P. O. Odion, M. N. Musa, S. U. Shuaibu, Age Prediction from Sclera Images using Deep Learning , Journal of the Nigerian Society of Physical Sciences: Volume 4, Issue 3, August 2022
- Peter Chibuike Okoye, Samuel Ogochukwu Azi, Taoreed O. Owolabi, Perovskite tetragonality modeling for functional properties enhancement using Newtonian search based support vector regression computational method , Journal of the Nigerian Society of Physical Sciences: Volume 4, Issue 1, February 2022
- John Tulirinya, Mathew Kinyanju, Samuel Mutua, Asaph Muhumuza, Optimizing initial chlorine dosage at an injection point along a water distribution pipe , Journal of the Nigerian Society of Physical Sciences: Volume 7, Issue 4, November 2025
- Santosh Kumar Upadhyay, Rajesh Prasad, Efficient-ViT B0Net: A high-performance light weight transformer for rice leaf disease recognition and classification , Journal of the Nigerian Society of Physical Sciences: Volume 7, Issue 4, November 2025
- Sathish Kumar Kannaiyan, Rengaraj R, Venkata krishnan G R, Gayathri P K, Lavanya G, Hemapriya D, Antimicrobial activity of green synthesized tri-metallic oxide Ni/Cr/Cu nanoparticles , Journal of the Nigerian Society of Physical Sciences: Volume 3, Issue 3, August 2021
- O. S. Oguntoye, A. M. Okooboh, O. M. Bello, A. H. Usman, S. S. Abdussalam, G. V. Awolola, Antimicrobial Assessment of Different Solvent Extracts of the Root-bark, Stem-bark and Leaves of Acacia ataxacantha Linn. , Journal of the Nigerian Society of Physical Sciences: Volume 1, Issue 1, February 2019
- E. P. Inyang, E. O. Obisung, P. C. Iwuji, J. E. Ntibi, J. Amajama, E. S. William, Masses and thermal properties of a Charmonium and Bottomonium Mesons , Journal of the Nigerian Society of Physical Sciences: Volume 4, Issue 3, August 2022
You may also start an advanced similarity search for this article.

