Velocities of transmission eigenchannels and diffusion

Azriel Z. Genack (), Yiming Huang, Asher Maor and Zhou Shi
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Azriel Z. Genack: Queens College of the City University of New York
Yiming Huang: Queens College of the City University of New York
Asher Maor: Queens College of the City University of New York
Zhou Shi: Queens College of the City University of New York

Nature Communications, 2024, vol. 15, issue 1, 1-10

Abstract: Abstract The diffusion model is used to calculate both the time-averaged flow of particles in stochastic media and the propagation of waves averaged over ensembles of disordered static configurations. For classical waves exciting static disordered samples, such as a layer of paint or a tissue sample, the flux transmitted through the sample may be dramatically enhanced or suppressed relative to predictions of diffusion theory when the sample is excited by a waveform corresponding to a transmission eigenchannel. Even so, it is widely assumed that the velocity of waves is irretrievably randomized in scattering media. Here we demonstrate in microwave measurements and numerical simulations that the statistics of velocity of different transmission eigenchannels are distinct and remains so on all length scales and are identical on the incident and output surfaces. The interplay between eigenchannel velocities and transmission eigenvalues determines the energy density within the medium, the diffusion coefficient, and the dynamics of propagation. The diffusion coefficient and all scattering parameters, including the scattering mean free path, oscillate with the width of the sample as the number and shape of the propagating channels in the medium change.

Date: 2024
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DOI: 10.1038/s41467-024-46748-0

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