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20242026
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physics.flu-dyn2026

Neural-Network-based Viscosity Closure for Non-Newtonian Multiphase Flows

Suresh Murugaiyan, Claire L. Nelson, Dhruv Gamdha +11

Materials used in polymer-based additive manufacturing processes, such as Digital Light Processing (DLP) and direct ink writing (DIW), typically exhibit non-Newtonian rheology. Car…

physics.flu-dyn2025

Predicting Time-Dependent Flow Over Complex Geometries Using Operator Networks

Ali Rabeh, Suresh Murugaiyan, Adarsh Krishnamurthy +1

Fast, geometry-generalizing surrogates for unsteady flow remain challenging. We present a time-dependent, geometry-aware Deep Operator Network that predicts velocity fields for mod…

physics.flu-dyn2025

MPFBench: A Large Scale Dataset for SciML of Multi-Phase-Flows: Droplet and Bubble Dynamics

Mehdi Shadkhah, Ronak Tali, Ali Rabeh +7

Multiphase fluid dynamics, such as falling droplets and rising bubbles, are critical to many industrial applications. However, simulating these phenomena efficiently is challenging…

physics.flu-dyn2025

A Shifted Boundary Method for Thermal Flows

Cheng-Hau Yang, Guglielmo Scovazzi, Adarsh Krishnamurthy +1

This paper presents an incomplete Octree mesh implementation of the Shifted Boundary Method (Octree-SBM) for multiphysics simulations of coupled flow and heat transfer. Specificall…

physics.flu-dyn2024

Simulating incompressible flows over complex geometries using the shifted boundary method with incomplete adaptive octree meshes

Cheng-Hau Yang, Guglielmo Scovazzi, Adarsh Krishnamurthy +1

We extend the shifted boundary method (SBM) to the simulation of incompressible fluid flow using immersed octree meshes. Previous work on SBM for fluid flow primarily utilized two-…