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Nathan A. DeBardeleben
Researcher, HPC-DES, Los Alamos National Laboratory
Joined
May 2025
Names
Nathan A. DeBardeleben
(Preferred)
,
Nathan A. Debardeleben
,
Nathan DeBardeleben
Emails
****@lanl.gov
(Confirmed)
,
****@lanl.gov
(Confirmed)
Personal Links
Google Scholar
DBLP
ORCID
Career & Education History
Researcher
HPC-DES,
Los Alamos National Laboratory
(lanl.gov)
2004
–
Present
PhD student
Electrical and Computer Engineering,
Clemson University
(clemson.edu)
2001
–
2004
MS student
Electrical and Computer Engineering,
Clemson University
(clemson.edu)
1999
–
2001
Undergrad student
Electrical and Computer Engineering,
Clemson University
(clemson.edu)
1995
–
1999
Advisors, Relations & Conflicts
PhD Advisor
Walter Ligon
Present
Expertise
artificial intelligence
Present
machine learning
Present
high performance computing
Present
resilience
Present
fault tolerance
Present
Publications
Beyond Leaderboards: Tokenomics of Agentic Small Language Model Ensembles
Alexei Skurikhin
,
Emily Taylor
,
Nathan A. DeBardeleben
ACM CAIS 2026: RLEval Workshop Poster
Readers:
Everyone
Out-of-distribution transfer of PDE foundation models to material dynamics under extreme loading
Mahindra Singh Rautela
,
Siddharth Mansingh
,
Aleksandra Pachalieva
,
Alexander Most
,
Kyle S. Hickmann
,
Daniel O'Malley
,
Alexander Scheinker
,
Bradley C. Love
,
Diane Oyen
,
Nathan A. DeBardeleben
,
Earl Lawrence
,
Ayan Biswas
AI&PDE Poster
Readers:
Everyone
URSA: The Universal Research and Scientific Agent
Mike Grosskopf
,
Nathan A. Debardeleben
,
Russell Bent
,
Rahul Somasundaram
,
Isaac Michaud
,
Arthur Lui
,
Warren D. Graham
,
Golo Albert Wimmer
,
Sachin Shivakumar
,
Joan Vendrell Gallart
,
Harsha Nagarajan
,
Earl Lawrence
Submitted to ICLR 2026
Readers:
Everyone
Towards Reasoning for PDE Foundation Models: A Reward-Model-Driven Inference-Time-Scaling Algorithm
Siddharth Mansingh
,
James Amarel
,
Ragib Arnab
,
Arvind T. Mohan
,
Kamaljeet Singh
,
Gerd J. Kunde
,
Nicolas Hengartner
,
Benjamin Migliori
,
Emily Casleton
,
Nathan DeBardeleben
,
Ayan Biswas
,
Diane Oyen
,
Earl Lawrence
CoRR 2025
Readers:
Everyone
A Foundation Model for Material Fracture Prediction
Agnese Marcato
,
Aleksandra Pachalieva
,
Ryley G. Hill
,
Kai Gao
,
Xiaoyu Wang
,
Esteban Rougier
,
Zhou Lei
,
Vinamra Agrawal
,
Janel Chua
,
Qinjun Kang
,
Jeffrey D. Hyman
,
Abigail Hunter
,
Nathan DeBardeleben
,
Earl Lawrence
,
Hari S. Viswanathan
,
Daniel O'Malley
,
Javier E. Santos
CoRR 2025
Readers:
Everyone
VizGenie: Toward Self-Refining, Domain-Aware Workflows for Next-Generation Scientific Visualization
Ayan Biswas
,
Terece L. Turton
,
Nishath Rajiv Ranasinghe
,
Shawn M. Jones
,
Bradley Love
,
William M. Jones
,
Aric A. Hagberg
,
Han-Wei Shen
,
Nathan DeBardeleben
,
Earl Lawrence
CoRR 2025
Readers:
Everyone
URSA: The Universal Research and Scientific Agent
Michael Grosskopf
,
Russell Bent
,
Rahul Somasundaram
,
Isaac J. Michaud
,
Arthur Lui
,
Nathan DeBardeleben
,
Earl Lawrence
CoRR 2025
Readers:
Everyone
Are We There Yet? Predicting the Queue Wait Times for HPC Jobs
Christin Whitton
,
William M. Jones
,
Craig S. Walker
,
Vanessa Job
,
Steven T. Senator
,
Nathan DeBardeleben
CLUSTER 2025
Readers:
Everyone
Inverse Design for Generating Initial Conditions in Scientific Simulations
Leslie A. Horace
,
Christin Whitton
,
Vanessa Job
,
William M. Jones
,
Nathan DeBardeleben
SC Workshops 2025
Readers:
Everyone
Echo State Networks: A Non-Intrusive Approach to Anomaly Detection in Manufacturing
Kendric Hood
,
Kelin Rumsey
,
Mark Cola
,
Bruce Madigan
,
Christina Scovel
,
Mike McAninch
,
Nathan DeBardeleben
SC Workshops 2024
Readers:
Everyone
View all 89 publications
Co-Authors
Abigail Hunter
Adam W. Hoover
Agnese Marcato
Al Geist
Aleksandra Pachalieva
Alexander Most
Alexander Scheinker
Alexandra Poulos
Alexei Skurikhin
Andrea Favalli
Andreas Wagner
Andrew A. Chien
Aric A. Hagberg
Arthur Lui
Arthur S. Bland
Arvind T. Mohan
Ayan Biswas
Barbara I. Wohlmuth
Ben Bergen
Benjamin Migliori
Bill Carlson
Bin Huang
Binoy Ravindran
Bo Fang
Brad Settlemyer
View all 268 co-authors