Los Alamos - Arizona Days 2024

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Los Alamos - Arizona Days 2024

On APRIL 19-20, 2024 , the Los Alamos - Arizona Days Conference will be held in person at the Center for Nonlinear Studies at Los Alamos National Lab. 

There will be 3 topic sessions: Materials Science, Applied AI, Scale Bridging  ALL TIMES ARE MOUNTAIN STANDARD TIME; The tentative schedule is as follows:

FRIDAY, APRIL 19, 2024

8:00-10:00am  UArizona participants pickup badges @ Badge Office

WELCOME
10:00-10:15
CHRIS FRYER (LANL) & MISHA CHERTKOV (UA)
10:15-10:30 Dave Clark (NSEC) LANL/UA Joint Appointment Program
SESSION 1:
MATERIALS SCIENCE
10:30-1:00PM
RICARDO LEBENSOHN (LANL) & KRISHNA MURALIDHARAN (UA)
10:30  Oana Cazacu
(UA Professor) 
Role of the anisotropy and tension-compression asymmetry in plastic deformation on damage under quasi-static and dynamic loadings
11:00 Liz Peterson
(Early Career Scientist T-4 Group)
Ab initio Design of Quantum Sensors: from Dark Matter to QIS
11:20 Venkat Manga
(UA Assistant Professor)
Modeling thermochemical evolution of ultra-refractory microstructures of early solar nebula
11:40-11:50 Break
11:50 Nathaniel Morgan 
(Senior Scientist E-2 Group)
Fierro Mechanics: Open-source Software to Revolutionize Design and Analysis
12:20 Patrick Lohr
(UA Graduate student)
A High-throughput data pipeline for perovskite surface chemistry
12:40 Andre Ruybalid
(Early Career Scientist MST-8 Group)
Surrogate modeling of nonlinear creep deformation in nuclear reactor components: a data-driven approach.
1:00-3:00pm Lunch Break
SESSION II:
APPLIED AI
3:00-5:30PM
YEN TING LIN (LANL) & KWANG-SUNG JUN (UA)
3:00 Kwang-Sung Jun
(UA Assistant Professor)
Noise-Adaptive Confidence Sets for Linear Bandits and Application to Bayesian Optimization
3:17 Caleb Dahlke
(UA Graduate Student)
Variational Estimations of Mutual Information for Implicit Likelihood Models
3:34 Jason Pacheco
(UA Assistant Professor)
Variational Information Control : Fast Experimental Design for Non-Exchangeable Data
3:51 Robert Vacareanu
(UA Graduate student)
 
Explainable Neuro-Symbolic Approaches for Natural Language Processing
4:08-4:24 Break
4:24 Andrey Lokhov
(Staff Scientist, T-5 Group)
Learning global Hamiltonians from local metastable states
4:46 Anjana Talapatra
(Staff Scientist, MST-8 Group)
Physics-Informed Machine Learning of the thermodynamics and kinetics of point defects in alloys
5:08 Nick Lubbers
(Staff Scientist, CCS-3 Group)
Symmetry and Tensor Structure in Atomistic Machine Learning
BANQUET DINNER (FRYER/HUNGERFORD HOUSE)

SATURDAY, APRIL 20, 2024

SESSION III:
SCALE BRIDGING
9:00-11:30AM
JEFF HAACK (LANL) & PATRICK SHIPMAN (UA)
 
9:00 Marat Latypov
(UA Assistant Professor)
AnisoGNN: graph neural networks generalizing to anisotropic properties of polycrystals
9:25 Sheila Whitman
(UA Graduate Student)
Computer Vision for Process Structure Property Relationships in Materials
9:45 Misha Chertkov
(UA Professor)
Mixing Artificial and Natural Intelligence: From Statistical Mechanics to AI and Back to Turbulence
10:10-10:20 Break
10:20 Alex Koshkarov
(LANL)
Reduced kinetic spectral methods for plasma physics applications
10:50 Cale Harnish
(LANL)
A Spectral Approach to Simulating Flows in the Entire Knudsen Number Range
11:10 Jeff Haack
(LANL)
Scale-Bridging Simulations through Active Learning
11:30AM Lunch and Tour (history museum, Bethe house, Fuller Lodge, Science museum)