Deep particle diffusometry: convolutional neural networks for particle diffusometry in the presence of flow and thermal gradients
Pranshul Sardana,
Steven T Wereley
Abstract:Diffusion coefficient measurement is a helpful tool in revealing various properties of a fluid such as viscosity and temperature. However, determining the diffusion coefficient often requires specialized equipment. Particle-based techniques allow the use of conventional cameras to determine flow properties without any specialized measurement devices. However, the performance of existing methods such as single-particle and correlation-based measurements degrade drastically in the presence of real-world scenario… Show more
We propose the idea of phase correlation spectroscopy to investigate the dynamics of diffusion of microparticles in the vicinity of large detection volume utilizing the time-resolved measurements of fluctuations in the phase of the particle.
We propose the idea of phase correlation spectroscopy to investigate the dynamics of diffusion of microparticles in the vicinity of large detection volume utilizing the time-resolved measurements of fluctuations in the phase of the particle.
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