A New Mathematical Formulation for a Phase Change Problem with a Memory Flux
Sabrina Roscani, Julieta Bollati, Domingo Tarzia

TL;DR
This paper introduces a novel mathematical model for a phase change problem incorporating memory effects via fractional derivatives, providing a new fractional Stefan condition and advancing the understanding of heat transfer with memory.
Contribution
It develops a new fractional derivative-based model for phase change problems with memory flux, including an integral form of the fractional Stefan condition.
Findings
Derived a fractional Stefan condition involving Caputo and Riemann--Liouville derivatives.
Established an integral relationship for the free boundary in the phase change problem.
Enhanced the mathematical framework for phase change problems with memory effects.
Abstract
A mathematical model for a one-phase change problem (particularly a Stefan problem) with a memory flux, is obtained. The hypothesis that the weighted sum of fluxes back in time is proportional to the gradient of temperature is considered. The model obtained involves fractional derivatives with respect on time in the sense of Caputo and in the sense of Riemann--Liouville. An integral relationship for the free boundary which is equivalent to the `fractional Stefan condition' is also obtained.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
