From the 1 of 10 linked papers with an AI index.
10 papers
Generating synthetic evolution of turbulent flames with an experimental data-based spatiotemporal diffusion model
Amrit Tarur, Shivam Barwey
The paper presents a conditional diffusion model that generates synthetic spatiotemporal data of turbulent flames, reproducing experimental OH-PLIF and PIV measurements and enablin…
A Multimodal Vision Transformer-based Modeling Framework for Prediction of Fluid Flows in Energy Systems
Kiran Yalamanchi, Shivam Barwey, Ibrahim Jarrah +1
Computational fluid dynamics (CFD) simulations of complex fluid flows in energy systems are prohibitively expensive due to strong nonlinearities and multiscale-multiphysics interac…
Mesh-based Super-resolution of Detonation Flows with Multiscale Graph Transformers
Shivam Barwey, Pinaki Pal
Super-resolution flow reconstruction using state-of-the-art data-driven techniques is valuable for a variety of applications, such as subgrid/subfilter closure modeling, accelerati…
FIGNN: Feature-Specific Interpretability for Graph Neural Network Surrogate Models
Riddhiman Raut, Romit Maulik, Shivam Barwey
This work presents a novel graph neural network (GNN) architecture, the Feature-specific Interpretable Graph Neural Network (FIGNN), designed to enhance the interpretability of dee…
Mesh-based Super-Resolution of Fluid Flows with Multiscale Graph Neural Networks
Shivam Barwey, Pinaki Pal, Saumil Patel +5
A graph neural network (GNN) approach is introduced in this work which enables mesh-based three-dimensional super-resolution of fluid flows. In this framework, the GNN is designed…
An AMReX-based Compressible Reacting Flow Solver for High-speed Reacting Flows relevant to Hypersonic Propulsion
Shivank Sharma, Ral Bielawski, Oliver Gibson +8
This work presents a comprehensive framework for the efficient implementation of finite-volume-based reacting flow solvers, specifically tailored for high speed propulsion applicat…