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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

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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…

cs.AI2025

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…