Los Alamos - Arizona Days Fall 2025

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Arizona Los Alamos Days November 2024

Artist: Ilya Margolin

On NOVEMBER 6-7, 2025 the Los Alamos- Arizona Days Conference will be held in person at the SALA in Los Alamos, NM.

There will be 4 topic sessions: Data Science & AI, Multi-Physics, Fusion Energy Systems, and Materials Science.  The tentative schedule is as follows:

THURSDAY, NOVEMBER 6, 2025      Location:

WELCOME
8:15-8:30
TBA
SESSION I:
AI and DATA SCIENCE
8:30-12:00
Organizers? 
8:30-8:50
Keynote
James Ahrens (LANL) Data Science at LANL - overview of the area and research directions
8:50-9:20Marek Rychlik (UA) Data mining from scanned .pdf documents
9:20-10:00Nicholas Taylor (LANL), MIke Ham (WRS Division), Geoffrey Fairchild (LANL)  Data Management R&D 
10:00-10:20Coffee Break
10:20-10:40Barney Maccabe ? (UA) UA Plans in AI and Data Science
10:40-11:00Robyn Miller and Juston Moore (LANL) Provably accurate surrogate models 
11:00-11:30Ann Zabludoff (UA) AstroDB and Causal AI
11:30-11:50Joel Maldonado (UA Student) Artificial Intelligence of Large Data Sets (on example of ARC-AGI dataset)
11:50-12:10Discussion on next steps in collaboration
12:10-1:30Lunch Break
SESSION II:
MULTI PHYSICS
1:30-4:30
Organizers? 
1:30-2:00 
  
  
  
 Break
  
  
  
FRIDAY, NOVEMBER 7, 2025        Location: 

SESSION III:
FUSION ENERGY SYSTEMS

9:00-12:00PM

Misha Chertkov (UA)
Horst Hahn (UA)
Wes Even (LANL)
Chris Fryer (LANL)
 
9:00-9:30John Kline (LANL)  Overview of our FES programs
9:30-10:00Horst Hahn (UA) Fusion Engineering at UA
10:00-10:20Sam Jones (LANL) Modeling resistive walls for MFE
10:20-10:40Coffee Break
10:40-11:00UA or LLNL visitor - TBD
11:00-11:20Damyn Chipman and Brian Haines (LANL) Laser modeling methods for indirect drive ICF
11:20-11:40UA Speaker - TBD
11:40-12:00Discussion of the next step in FES collaborations
12:00-1:30Lunch Break

SESSION IV:
MATERIALS SCIENCE

1:30-4:00PM


Olesya Zhupanska (UA)
Brenden Hamilton (LANL)
1:30-2:00
Keynote
Olesya Zhupanska (UA) Composite materials for extremes: integrating micromechanics- and continuum-level modeling
2:00-2:20Avanish Mishra (LANL) Accelerating Materials Discovery via Generative AI
2:20-2:40Sheila Whitman (UA Student) Learning microstructure–property relationships with foundational vision transformer representations
2:40-3:00Coffee Break
3:00-3:30
Keynote
Ben Nebgen (LANL) Optimizing plasticizer composition for targeted polymer properties utilizing machine learned interatomic potentials
3:30-3:50Ed McDugald (UA Student) A generative model for solid-liquid interfaces
3:50-4:10Brayan Murgas (LANL)  TBD
4:10-4:30Discussions of next steps in collaboration