Volume 13, Issue 3 (2026)

Table of contents

• Published Subscription Original Research 12 Aug 2026

  Artificial Intelligence–Assisted Reduced-Order Modeling and Stability Control in Granular Couette Flow

  By Lakshmi. N. Sridhar

  Abstract: This study develops a reduced-order and stability-aware modeling framework for dense granular Couette flow by integrating continuum mechanics, bifurcation analysis, and data-driven stability estimation. Starting from coupled governing equations for momentum, granular temperature, and microstructural evolution, the system is nondimensionalized and reduced using a Galerkin projection consistent with shear-driven boundary conditions. This yields a low-dimensional nonlinear dynamical system that preserves the essential coupling between velocity, fluctuation energy, and structural relaxation. …

  Published in Emerging Trends in Chemical Engineering · Vol. 13, Issue 3, 2026 Read article →