2023 AIChE Annual Meeting

Session: Data Science for Complex Fluids and Complex Flows

Co-Chairs

Hormozi, S., Cornell University
Howard, M., University of Texas At Austin

Presentations

03:30 PM

(422a) Simple (Scattering-Informed Microstructure Prediction during Lagrangian Evolution) – a Data-Driven Framework for Modeling Complex Fluids

03:45 PM

(422b) Multi-Fidelity Data-Driven Design and Analysis of Reactor and Tube Simulations

04:00 PM

(422c) Comparative Study of Erosion Prediction in Elbows Using Machine Learning and CFD

04:15 PM

(422d) Data-Driven Symmetry-Aware Low-Dimensional Models for Predicting Turbulent Fluid Flows

04:45 PM

(422f) Computational Analysis of Different Sparging Systems and Their Influence in the Fluid-Dynamic Behavior of Bubble Column Reactors.

05:00 PM

(422g) Validation of a Quadrature-Based Moment Method for the Simulation of Bubble Columns

05:15 PM

(422h) A Numerical Simulation of Droplet Coalescence

05:30 PM

(422i) Instabilities of Dilute Wormlike Micelle Solutions in 2D and 3D Circular Couette Flows

05:45 PM

(422j) Molecualr Origin of Shearbanding in Entangled Polymeric Solutions