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) |
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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) |
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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) |