Optical tweezer measurements of asymptotic nonlinearities in complex fluids by Gupta, Satish Kumar, Lennon, Kyle R., Joens, Mary A., Bandi, Hari, Van Galen, Martijn, Han, YuLong, Tang, Wenhui, Li, Yiwei, Wasserman, Steven Charles, Swan, James W., Guo, Ming

Get full text

Scientific machine learning for modeling and simulating complex fluids by Lennon, Kyle R., McKinley, Gareth H., Swan, James W.

“…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 involving soft materials. …”
Get full text

Anticipating gelation and vitrification with medium amplitude parallel superposition (MAPS) rheology and artificial neural networks by Lennon, Kyle R., Rathinaraj, Joshua D. J., Gonzalez Cadena, Miguel A., Santra, Ashok, McKinley, Gareth H., Swan, James W.

“…Abstract Anticipating qualitative changes in the rheological response of complex fluids (e.g., a gelation or vitrification transition) is an important capability for processing operations that utilize such materials in real-world environments. …”
Get full text

Mathematics, Methods, and Models for Data-Driven Rheology by Lennon, Kyle R.

“…These Mathematics, Methods, and Models for Data-Driven Rheology promise to advance the field of rheology, and the engineering of complex fluid and soft solid systems, in several ways. …”
Get full text
Get full text