On AUGUST 15-16, 2022 , the Program in Applied Mathematics will host the Los Alamos - Arizona Days Conference. The event will be held in person at the Center for Nonlinear Studies at Los Alamos National Lab and online via Webex:
https://lanl-us.webex.com/lanl-us/j.php?MTID=mc7be7c2b46b410bb7390d5197834ec62
Meeting number (access code): 2454 423 3975 Meeting password: xnMypZGr583
There will be 4 topic sessions: Computer and Data Science, Fluid Mechanics, Materials Science, and Biological Applied Math ALL TIMES ARE MOUNTAIN STANDARD TIME; The tentative schedule is as follows:
Monday, AUGUST 15, 2022
7:00-9:00am UArizona participants pickup badges @ Badge Office
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WELCOME
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| SESSION 1: COMPUTER & DATA SCIENCE 9:15-12:15pm |
DANIEL BURRILL, NATALIE KLEIN, NISHANT PANDA (LANL) & MICHAEL "Misha" CHERTKOV (UA) |
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| 9:15-9:35 Michael "Misha" Chertkov (UA) | Graph and Agent Models of Pandemics (Viral and Social) | |
| 9:35-9:55 Michael Tynes (LANL) |
The Surprising Effectiveness of Topology in the Chemical Sciences |
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| 9:55-10:15 Dan Van Boxel (UA) | Born in a BARN: Bayesian Additive Regression Network | |
| 10:15-10:25 | 10 minute break | |
| 10:25-10:45 Kellin Rumsey (LANL) | Discovering Active Subspaces for High-Dimensional Computer Models | |
| 10:45-11:05 Michal Kucer (LANL) | On visual self-supervision and its effect on model robustness | |
| 11:05-11:25 Natalie Klein (LANL) | Learning data shifts in spectroscopy via structured normalizing flows | |
| 11:25-11:45 Robert Ferrando (UA) | Machine Learning for Electricity Market Clearing | |
| 11:45-12:15 Discussion | Discussion of future collaborations between LANL and AM@UArizona in the areas of AI/ML/Data/CS. Panelists/provocateurs: Aric Hagberg (CCS-DO), Nick Hengartner (CNLS), Amanda Ziemann (ISR-6), Shriram Srinivasan (T-5), Dave Osthus (CCS-6) | |
| 12:15-1:30pm | Lunch Break | |
| SESSION 2: FLUID MECHANICS 1:30-4:45pm |
VITALY GIRYA (LANL) & charles wolgemuth (UA) | |
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| 1:30-2:00 Charles Wolgemuth (UA) | The dynamics of suspensions, as motivated by biology | |
| 2:00-2:30 Matea Santiago (UA) | Simulations of Chemical Concentration around Pulsing Soft Corals | |
| 2:30-3:00 Daniel Israel (LANL) | Linear Stability Analysis of the RANS Equations for Transition | |
| 3:00-3:15 | 15 minute break | |
| 3:15-3:45 Filipe Pereira (LANL) | PANS Modeling for Variable-Density and Materials Mixing Problems | |
| 3:45-4:15 Ismael Boureima (LANL) | Growth of Richtmyer-Meshkov turbulence when reshocked in the same direction | |
| 4:15-4:30 Michael Woodward (UA) | Physics Informed Machine Learning with Smooth Particle Hydrodynamics: Machine Learning Lagrangian Turbulence | |
| 4:30-4:45 Criston Hyett (UA) | Machine Learning Lagrangian Tetrads: Reduced-Order Modeling of Turbulence | |
Tuesday, AUGUST 16, 2022
| SESSION 3: materials science 9:00-12:15pm |
kipton barros (LANL) & marat latypov (UA) | |
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| 9:00-9:30 Reeju Pokharel (LANL) | Machine learning for accelerated microstructure characterization | |
| 9:30-10:00 Nick Lubbers (LANL) |
Machine Learning Parameterized Hamiltonians for Intuitive Quantum Chemistry Models |
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| 10:00-10:20 Marat Latypov (UA) | Machine learning mechanical properties in relation to heterogeneous mesoscale microstructure | |
| 10:20:10:40 Jessica Lalonde (LANL) | Machine Learning for Predicting Chemistry- and Environment-Dependent Degradation Behavior of Biopolymers | |
| 10:40-10:55 | 15 minute break | |
| 10:55-11:15 Javier Estrada (LANL) | Learning a General Model of Fluid Flow in Complex Porous Media from Large 3D arrays | |
| 11:15-11:35 Alice Allen (LANL) | Machine learning of material properties: Predictive and interpretable multilinear models | |
| 11:35-11:55 Matin Sakib (LANL) | Machine Learning Potentials with Long-Range Coulomb Interactions | |
| 11:55-12:15 Discussion | Brainstorming future modes of interaction in the area of materials | |
| 12:15-1:30PM | Lunch Break | |
| SESSION 4: BIOLOGICAL APPLIED MATH 1:30-4:45Pm |
JIM BRUNNER & eMMA GOLDBERG (LANL) & kEVIN LIN (UA) | |
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| 1:30-1:50 Alexa Aucoin (UA) | Interpretable feature selection for classifying context-dependent subnetworks in amygdala | |
| 1:50-2:10 Tin Phan (LANL) | Modeling viral resistance to monotherapy with monoclonal antibody treatment for SARS-CoV-2 | |
| 2:10-2:30 Avinash Karamchandani (UA) |
Enhanced Neural Variability and Its Effect on Neural Rhythms |
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| 2:30-2:50 Julie Spencer (LANL) | Distinguishing viruses responsible for influenza-like illness | |
| 2:50-3:10 Kevin Lin (UA) | A principled approach to mapping cortical parameter space | |
| 3:10-3:25 | 15 minute break | |
| 3:25-3:45 Zach Fox (LANL) | Estimating and controlling stochastic gene expression in single cells with Bayesian filtering | |
| 3:45-4:05 Anastasia Kim (LANL) | LDA topic modeling and Bayesian network analysis on plant-microbiome data | |
| 4:05-4:25 Kelly Heilman (UA) | ||
| 4:25-4:45 Migun Shakya (LANL) | ||
| 4:45 - Closing Remarks & General Discussion | ||
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Main organizers are (Nick Hengartner/LANL, Enrique Batista/LANL - Misha Chertkov/UA).
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Organizers of the topical sessions are:
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Computer & Data Science (DANIEL BURRILL, NATALIE KLEIN, NISHANT PANDA (LANL) & MISHA CHERTKOV (UA)
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Fluid Mechanics (VITALY GIRYA (LANL) & CHARLES WOLGEMUTH (UA)
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Materials Science (KIPTON BARROS, SERGEI TRETIAK (LANL) & MARAT LATYPOV (UA)
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Biological Applied Math (JIM BRUNNER & EMMA GOLDBERG (LANL) & KEVIN LIN (UA)
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If you are interested to present a short talk or a poster session please get in contact with leaders of the respective session ASAP.