2022 Annual Meeting

Session: Data Science in Complex Fluids and Complex Flows

Co-Chairs

Safa Jamali, Northeastern
Lilian Hsiao, North Carolina State University

Presentations

03:30 PM

(388a) Data-Driven Modeling of a Dynamic System with Extreme Events through Neural Networks in an Atlas of Charts
Andrew Fox, Michael Graham

03:50 PM

(388b) Stabilized Neural ODEs for Data-Driven Reduced-Order Modeling of Plane Couette Flow
Michael Graham, Alec Linot

04:10 PM

(388c) Automated High-Throughput Microrheology for Material Formulation
Yimin Luo, Alexandra V. Bayles, Mengyang Gu, Yue He, Rhett L. Martineau, Maneesh K. Gupta, Todd Squires, Megan T. Valentine, Matthew Helgeson

04:30 PM

(388d) Rigid Structures in Frictional Dense Suspensions
Abhinendra Singh, Michael van der Naald, Juan J. de Pablo, Heinrich M. Jaeger

04:50 PM

(388e) Using Co-Optimized Machine Learned Manifolds for Modeling Chemically Reacting Flows
Shashank Yellapantula, Bruce Perry, Marc Henry de Frahan

05:10 PM

(388f) A Deep Learning Framework for Predicting Fluid Flow in Porous Membranes
Serveh Kamrava, Muhammad Sahimi, Pejman Tahmasebi

05:30 PM

(388g) Bayesian Optimisation for Plug Performance of Coiled Tubes at Low-Reynolds-Number
Nausheen Basha, Tom Savage, Miguel Ángel de Carvalho Servia, Jonathan McDonough, Ehecatl Antonio del Rio Chanona, Omar Matar