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Coupling between radiative transport and diffusion approximation for enhanced near-field photon-migration modeling
Mengyu Jia1, Huijuan Zhao2, Jiao Li2
1Tianjin University, College of Precision Instrument and Optoelectronics Engineering, Tianjin 300072, China.
This study introduces a physically consistent method for coupling photon transport and diffusion theories in hybrid models. The new approach enhances near-field photon migration descriptions while improving computational efficiency and accuracy.
Area of Science:
- Physics
- Computational Physics
- Photonics
Background:
- Coupling transport theory and diffusion approximation in hybrid models for photon migration is computationally complex and can be inaccurate.
- Existing methods struggle with physically consistent integration of these two physics domains.
Purpose of the Study:
- To develop a physically consistent coupling method for linking photon transport and diffusion physics.
- To enhance the description of near-field photon migration in subdomain-based hybrid models.
- To improve computational efficiency and accuracy in modeling photon transport.
Main Methods:
- A transient photon kinetics approach is used to link transport and diffusion physics.
- An auxiliary time-domain diffusion solution provides the distribution of fully diffusive photons at a transition time.
- This solution acts as a source for both the transport and diffusion equations, enabling independent calculation of early and late photodensities.
Main Results:
- The proposed method achieves a physically consistent coupling between transport and diffusion equations.
- It allows for independent calculation of early-stage photodensities (from transport) and late-stage photodensities (from diffusion).
- Numerical simulations validate the scheme for a cubic geometry, demonstrating its effectiveness.
Conclusions:
- The developed method offers a computationally efficient and physically accurate way to model near-field photon migration.
- It successfully integrates transport and diffusion physics for comprehensive steady-state modeling.
- This approach advances hybrid modeling techniques in photonics and computational physics.
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