1 citations · 1 across the 4 of their papers we have counts for
4 papers
Development and application of a multiphase Lagrangian structure function model in anisotropic turbulence
Andrew P. Grace, David Richter
The energetic response of inertial particles to turbulent flow motions is important for both a fundamental understanding of the multi-phase dynamics at play, and for applications s…
A Physics-Informed Spatiotemporal Deep Learning Framework for Turbulent Systems
Luca Menicali, Andrew Grace, David H. Richter +1
Fluid thermodynamics underpins atmospheric dynamics, climate science, industrial applications, and energy systems. However, direct numerical simulations (DNS) of such systems can b…
Multi-scale interactions in turbulent mixed convection drive efficient transport of Lagrangian particles
Andrew P. Grace, David H. Richter
When turbulent convection interacts with a turbulent shear flow, the cores of convective cells become aligned with the mean current, and these cells (which span the height of the d…
Effects of settling on inertial particle slip velocity statistics in wall bounded flows
Andrew P. Grace, David Richter, Tim Berk +1
Developing reduced order models for the transport of solid particles in turbulence typically requires a statistical description of the particle-turbulence interactions. In this wor…