4 papers
Reduced-order modeling of a viscoelastic turbulent jet with hybrid machine learning models
Christian Amor, Adrián Corrochano, Marco Edoardo Rosti +1
Adding flexible polymers to a Newtonian solvent confers complex properties to the resulting solution. The additional complexity substantially increases the computational cost of nu…
A temporal deep learning framework for calibration of low-cost air quality sensors
Arindam Sengupta, Tony Bush, Ben Marner +2
Low-cost air quality sensors (LCS) provide a practical alternative to expensive regulatory-grade instruments, making dense urban monitoring networks possible. Yet their adoption is…
Agentic Exploration of PDE Spaces using Latent Foundation Models for Parameterized Simulations
Abhijeet Vishwasrao, Francisco Giral, Mahmoud Golestanian +8
Flow physics and more broadly physical phenomena governed by partial differential equations (PDEs), are inherently continuous, high-dimensional and often chaotic in nature. Traditi…
Clustering the Flow: A Data-Driven Framework for Pattern Discovery in Fluid Dynamics
Juan Angel Martin, Eva Muñoz, Himanshu Dave +2
Clustering techniques offer a powerful framework for analyzing complex flow dynamics and reducing computational costs in large-scale simulations. In this work, we propose a novel c…