115 citations · 311 across the 20 of their papers we have counts for
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Scientific Machine Learning for Modeling and Simulating Complex Fluids
Kyle R. Lennon, Gareth H. McKinley, James W. Swan
The formulation of rheological constitutive equations -- models that relate internal stresses and deformations in complex fluids -- is a critical step in the engineering of systems…
A Data-Driven Method for Automated Data Superposition with Applications in Soft Matter Science
Kyle R. Lennon, Gareth H. McKinley, James W. Swan
The superposition of data sets with internal parametric self-similarity is a longstanding and widespread technique for the analysis of many types of experimental data across the ph…
Parameterization of hydrodynamic friction in a model for sheared suspensions of rough particles
Madhu V. Majji, James W. Swan
We propose a method to parameterize a coarse grained model for the hydrodynamic friction between nearly touching rough spheres in suspension flows. The frictional resistance due to…