29 citations · 33 across the 9 of their papers we have counts for
11 papers
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…
Locally Feasibly Projected Sequential Quadratic Programming for Nonlinear Programming on Arbitrary Smooth Constraint Manifolds
Kevin S. Silmore, James W. Swan
High-dimensional nonlinear optimization problems subject to nonlinear constraints can appear in several contexts including constrained physical and dynamical systems, statistical e…
Thermally Fluctuating, Semiflexible Sheets in Simple Shear Flow
Kevin S. Silmore, Michael S. Strano, James W. Swan
We perform Brownian dynamics simulations of semiflexible colloidal sheets with hydrodynamic interactions and thermal fluctuations in shear flow. As a function of the ratio of bendi…
On the unsteady and lineal translation of a sphere through a viscoelastic fluid
Mary A. Joens, James W. Swan
The unsteady, lineal translation of a solid spherical particle through viscoelastic fluids described by the Johnson-Segalman and Giesekus models is studied analytically. Solutions…