| Darío Gil |
Under Secretary for Science, U.S. Department of Energy
|
DOE Office of Science Welcome
|
| David LaGraffe |
Principal Assistant Deputy Administrator, Office of Research, Development, Test and Evaluation, National Nuclear Security Administration
|
DOE NNSA Welcome
|
| Emily Williams |
Massachusetts Institute of Technology
|
Generative Modeling for Multiscale Chaotic Systems
|
| Michael Tynes |
University of Chicago
|
Controlling, Coarsening and Distributing Machine-Learned Force Fields for Molecular Dynamics
|
| Elizabeth Bennewitz |
University of Maryland, College Park
|
Quantum Simulation with Analog Quantum Simulators
|
| Otto Fajen |
Stanford University
|
Leveraging GPU-Acceleration and Rank-Sparsity to Scale Correlated Wavefunction Methods in Quantum Chemistry
|
| Nina Filippova |
University of Texas at Austin
|
Protostellar Disk Formation in Realistic Environments: Addressing the Magnetic Braking Catastrophe
|
| Gil Goldshlager |
University of California, Berkeley
|
Towards High-Precision Optimizers for Scientific Machine Learning
|
| Jackson Burns |
Massachusetts Institute of Technology
|
Deep Learning Foundation Models from Classical Molecular Descriptors
|
| Alexander Johnson |
Harvard University
|
Efficient and Accurate Galaxy Catalogs with Massless AggregationParticles (MAPs)
|
| Brian Spears |
Technical Director, Genesis Mission, U.S. Department of Energy and National Nuclear Security Administration; Distinguished Member of the Technical Staff, Lawrence Livermore National Laboratory
|
The Genesis Mission: Nation-Scale AI and the Future of Scientific Work
|
| Mary Gerhardinger |
University of Pennsylvania
|
What Does it Take to Simulate a Black Hole?
|
| Miruna Oprescu |
Cornell University
|
Beyond Prediction: When Machine Learning Meets Causality
|
| Joel Ye |
Carnegie Mellon University
|
Towards a Foundation Model for Intracortical Neural Activity
|
| Caleb Adams |
University of Texas at Austin
|
Trees, Water and Microenvironment
|
| Daniel Abdulah |
Massachusetts Institute of Technology
|
Internal Ocean Waves on Icy Moons
|
| Franz O'Meally |
California Institute of Technology
|
Simulating Mass Transfer with Interface-Capturing Schemes
|
| Michael Ito |
University of Michigan
|
From Random Searches to Canonical Trees: New Routes to Invariant Molecular Graph Learning
|
| Katherine Keegan |
Emory University
|
Teaching Science to Generative AI: Mathematical Techniques in Equality-Constrained Scientific Generative Modeling
|
| McKenzie Hagen |
University of Washington
|
Linking fMRI Measurements to Neuroscience Theory with Model-Based Connectomes
|
| Joshua Fernandes |
University of California, Berkeley
|
The Emergent Physics of Bioelectricity
|
| Christopher Anderson |
University of Washington
|
Multi-Objective Optimization Reveals Driving Forces Behind Mutualistic Community Structure and Persistence
|
| Jerry Liu |
Stanford University
|
Constructing Efficient Fact-Storing MLPs for Transformers
|
| Mansi Sakarvadia |
University of Chicago
|
Towards Resilient Machine Learning Across Scales
|
| Zachary Espinosa |
University of Washington
|
DLESyM-Ocean: A Deep Learning Probabilistic Global Ocean Model for Simulating Present-Day Upper Ocean and Sea Ice
|
| Lucy Brown |
Stanford University
|
Near-Wall Subgrid Modeling for Simulations of Drop Sliding and Impingement
|
| McKenzie Larson |
University of Colorado Boulder
|
Future Changes to Extreme Downslope Windstorms Across the Northern Colorado Front Range
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