The field of materials science and engineering is on the cusp of a digital data revolution.
After reviewing the nature of data science and Big Data, we discuss the features of materials …

abstract The output from a direct numerical simulation (DNS) of turbulent channel flow at Re
τ≈ 1000 is used to construct a publicly and Web services accessible, spatio-temporal …

State-of-art preprocessing methods for Particle Image Velocimetry (PIV) are severely
challenged by time-dependent light reflections and strongly non-uniform background. In this …

We consider the rotation of neutrally buoyant axisymmetric particles suspended in isotropic
turbulence. Using laboratory experiments as well as numerical and analytical calculations …

This study assesses the capability of extended proper orthogonal decomposition (EPOD)
and convolutional neural networks (CNNs) to reconstruct large-scale and very-large-scale …

The key limitations of digital inline holography (DIH) for particle tracking applications are
poor longitudinal resolution, particle concentration limits, and case-specific processing. We …

Random noise removal from particle image velocimetry (PIV) data and spectra is of
paramount importance, especially for the computation of derivative quantities and spectra …

In three-dimensional turbulent flows, the flux of energy from large to small scales breaks time
symmetry. We show here that this irreversibility can be quantified by following the relative …

We analyze the tumbling of small nonspherical, axisymmetric particles in random and
turbulent flows. We compute the orientational dynamics in terms of a perturbation expansion …

The introduction of 3D time-resolved velocity measurement techniques enables calculation
of the instantaneous pressure distribution by spatially integrating the material acceleration …