Modelling heat transfer in laser-soft matter interaction via chaotic Ikeda map

TL;DR

This paper introduces a novel chaotic Ikeda map-based model to simulate heat transfer in soft biological tissues under laser interaction, enabling dynamic control and nonlinear effect analysis for medical applications.

Contribution

The paper presents a new Ikeda map-based modeling approach for heat transfer in soft tissues, offering advantages over traditional methods like Monte Carlo simulations.

Findings

Potential for analyzing nonlinear optical effects

Enhanced flexibility and controllability in simulations

Applicability to laser-guided medical procedures

Abstract

We develop a model for simulating the heat transfer phenomena within a biological soft material using the Ikeda chaotic map. Our approach is implemented by sampling the optical intensity via the Ikeda map to investigate the influence on the heat distribution over the tissue. Our method has many potential advantages including the possibility of investigating the nonlinear optical effects resulting from the intense beam-induced feedback mechanisms. This in turn, leads to the flexibility and dynamical controllability in comparison to the quasi-static Monte-Carlo method. The proposed approach is thus appropriate for the applications in the light beam-guided nanodrug injection and microsurgery.