1 citations · 1 across the 4 of their papers we have counts for
4 papers
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…
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…
Automating Data-Driven Modeling and Analysis for Engineering Applications using Large Language Model Agents
Yang Liu, Zaid Abulawi, Abhiram Garimidi +1
Modern engineering increasingly relies on vast datasets generated by experiments and simulations, driving a growing demand for efficient, reliable, and broadly applicable modeling…
Bayesian optimized deep ensemble for uncertainty quantification of deep neural networks: a system safety case study on sodium fast reactor thermal stratification modeling
Zaid Abulawi, Rui Hu, Prasanna Balaprakash +1
Accurate predictions and uncertainty quantification (UQ) are essential for decision-making in risk-sensitive fields such as system safety modeling. Deep ensembles (DEs) are efficie…