activity
20242026
most citedBayesian optimized deep ensemble for uncertainty quantification of deep neural networks: a system safety case study on sodium fast reactor thermal stratification modeling

1 citations · 1 across the 4 of their papers we have counts for

collaborators
Showing 2026Show all

2 papers · 1 filter

cs.LG2026

Deploying Frontier Agentic Technology in MOOSEnger, a Multiphysics-Capable AI Assistant

Zaid Abulawi, Mengnan Li, Guillaume Giudicelli +2

The Multiphysics Object-Oriented Simulation Environment (MOOSE) is an open-source finite-element framework for building multiphysics simulation applications. Using a multiphysics e…

cs.AI2026

AutoSAM: an Agentic Framework for Automating Input File Generation for the SAM Code with Multi-Modal Retrieval-Augmented Generation

Zaid Abulawi, Zavier Ndum Ndum, Eric Cervi +2

In the design and safety analysis of advanced reactor systems, constructing input files for system-level thermal-hydraulics codes such as the System Analysis Module (SAM) remains a…