316 citations · 387 across the 10 of their papers we have counts for
11 papers
Machine learning approaches to close the filtered two-fluid model for gas-solid flows: Models for subgrid drag force and solid phase stress
Baptiste Hardy, Stefanie Rauchenzauner, Pascal Fede +4
Gas-particle flows are commonly simulated through two-fluid model at industrial-scale. However, these simulations need very fine grid to have accurate flow predictions, which is pr…
Effect of surface porosity of catalytic supports on plasma-assisted catalysis for ammonia synthesis
S. Jaiswal, Zhe Chen, Sankaran Sundaresan +2
A fundamental understanding of plasma-catalyst interactions is important for understanding reaction mechanisms, optimizing the catalyst, and increasing the efficiency of plasma-ass…
Multiple timescale contact charging
T. Shinbrot, B. Ferdowsi, S. Sundaresan +1
Contact charging between insulators is one of the most basic, yet least well understood, of physical processes. For example we have no clear theory for how insulators recruit enoug…
Radial hopper flow prediction using a constitutive model with microstructure evolution
Jin Sun, Sankaran Sundaresan
We present theoretical predictions of granular flow in a conical hopper based on a continuum theory employing a recently-developed constitutive model with microstructure evolution…
Filtered models for reacting gas-particle flows
William Holloway, Sankaran Sundaresan
Using the kinetic-theory-based two-fluid models as a starting point, we develop filtered two-fluid models for a gas-particle flow in the presence of an isothermal, first-order, sol…
Bridging the rheology of granular flows in three regimes
Sebastian Chialvo, Jin Sun, Sankaran Sundaresan
We investigate the rheology of granular materials via molecular dynamics simulations of homogeneous, simple shear flows of soft, frictional, noncohesive spheres. In agreement with…