Current Awards

Congratulations to our 2024-2025 Awardees.

2024-2025 ALCC Factsheets

ALCC awards support scientists from industry, academia and national laboratories advancing scientific and technological research in DOE mission areas including: Biophysics, Energy Efficiency in Aerospace and Combustion technologies, Fusion Energy, Geosciences, High Energy Physics, Materials Sciences, Nuclear Engineering, and Nuclear Physics.

Alexey Arefiev (UC San Diego)

  • Laser-plasma instabilities driven by helical laser beam
  • 394,008 node-hours on Perlmutter-CPU

Fikret Aydin (Lawrence Livermore National Laboratory)

  • AI-Driven Multiscale Investigation of RAS-RAF Activation Lifecycle
  • 900,000 node-hours on Frontier

Thomas Blum (University of Connecticut)

  • Hadronic contributions to the muon g-2 from lattice QCD
  • 3,846,000 node-hours on Frontier,
  • 1,000,000 node-hours on Aurora

Peter Caldwell (Lawrence Livermore National Laboratory)

  • Decadal Simulations with the Simple Cloud-Resolving E3SM Atmosphere Model
  • 1,600,000 node-hours on Frontier

Jan Michael Carrillo (Oak Ridge National Laboratory)

  • Charged Macromolecules in the Nonequilibrium State
  • 425,000 node-hours on Frontier

Jacqueline Chen (Sandia National Laboratories)

  • DNS of H2/NG blends towards fuel- and load-flexible industrial heat and power
  • 2,100,000 node-hours on Frontier

Margaret S. Cheung (Pacific Northwest National Laboratory)

  • Building Digital Twin of a Model Host-Pathogen System for Enhancing Biopreparedness
  • 50,0000 node-hours on Frontier,
  • 100,000 node-hours on Aurora,
  • 100,000 node-hours on Polaris,
  • 200,000 node-hours on Perlmutter-CPU,
  • 100,000 node-hours on Perlmutter-GPU

William Collins (Lawrence Berkeley National Laboratory and University of California, Berkeley)

  • Huge Ensembles of Weather Extremes using the Fourier Forecasting Neural Network
  • 280,000 node-hours on Perlmutter-GPU

Martha Constantinou (Temple University)

  • Twist-3 GPDs of the pion and kaon
  • 206,400 node-hours on Perlmutter-CPU

Som Dutta (Utah State University)

  • DNS of Buoyancy Driven Flows for Developing NN-informed High-fidelity Turbulence Closures
  • 300,000 node-hours on Frontier,
  • 50,000 node-hours on Aurora,
  • 50,000 node-hours on Polaris,
  • 200,000 node-hours on Perlmutter-CPU

Vikram Gavini (University of Michigan, Ann Arbor)

  • Learning exchange-correlation functional in DFT from quantum many-body calculations
  • 250,000 node-hours on Frontier

Omar Ghattas (The University of Texas at Austin)

  • Real-time extreme-scale inversion and prediction for tsunami early warning
  • 100,000 node-hours on Perlmutter-GPU

Jens Glaser (Oak Ridge National Laboratory)

  • Continually-Learning Foundation Models for Scientific Imaging
  • 710,000 node-hours on Frontier

Mark Gordon (Ames National Laboratory)

  • Highly Scalable Ab Initio Simulations of N-Doped Porous Materials for Carbon Capture
  • 2,000,000 node-hours on Aurora

Ore Gottlieb (Flatiron Institute)

  • Simulating large-scale long-lived neutron star remnants from binary neutron star mergers
  • 400,000 node-hours on Aurora

Roelof Groenewald (TAE Technologies Inc.)

  • High-fidelity WarpX simulations of stability and operational boundaries of advanced FRCs
  • 65,000 node-hours on Perlmutter-GPU

Allan Grosvenor (MSBAI — dba Microsurgeonbot Inc.)

  • Autonomy for DOE Simulations
  • 100,000 node-hours on Frontier
  • 30,000 node-hours on Aurora

Rajan Gupta (Los Alamos National Laboratory)

  • Axial-vector form factors for neutrino-nucleon scattering
  • 540,000 node-hours on Frontier

Heidi Hanson (Oak Ridge National Laboratory)

  • Developing biopreparedness models informed by heterogeneous data streams 130,000 node-hours on Frontier

Sara Isbill (Oak Ridge National Laboratory)

  • Informing Forensics Investigations of Nuclear Materials
  • 200,000 node-hours on Frontier

Daniel Jacobson (Oak Ridge National Laboratory)

  • Integrative Systems Biology for Epigenetics in the EPIC BRaVE Project
  • 600,000 node-hours on Frontier

Suhas Jain (Georgia Institute of Technology)

  • High-fidelity simulations of particle-laden non-equilibrium turbulent flows
  • 3,000,000 node-hours on Frontier

Felipe Jornada (Stanford University)

  • Predicting heterogeneous photocatalysts using large-scale ab initio calculations
  • 140,000 node-hours on Frontier
  • 100,000 node-hours on Aurora

 

Taehun Lee (The City College of New York)

  • High-Fidelity Simulations of Helium-Air Mixing in High-Temperature Gas Reactor Cavities
  • 115,000 node-hours on Polaris

Jinxun Liu (U.S. Geological Survey, Western Geographic Science Center)

  • Coastal wetland carbon balance of the conterminous U.S.
  • 30,000 node-hours on Perlmutter-CPU

Matthew Long ([C]Worthy)

  • Computational Systems for Tracking Ocean Carbon
  • 492,000 node-hours on Perlmutter-CPU

Xiaoyi Lu (University of California, Merced)

  • Scalable and Resilient Modeling for Federated Learning Systems and Applications
  • 15,360 node-hours on Frontier
  • 8,960 node-hours on Aurora
  • 35,840 node-hours on Polaris
  • 76,800 node-hours on Perlmutter-CPU
  • 130,720 node-hours on Perlmutter-GPU

Po-Lun Ma (Pacific Northwest National Laboratory)

  • Global kilometer-scale atmospheric simulations with prognostic aerosol
  • 1,600,000 node-hours on Frontier

David McCallen (Lawrence Berkeley National Laboratory)

  • Application of Exascale Computing to Regional-Scale Earthquake Hazard and Risk Assessments with a Focus on Emerging Energy Systems
  • 1,100,000 node-hours on Frontier

Daniel Mejia Rodriguez (Pacific Northwest National Laboratory)

  • Exploring Exascale Quantum Chemical Methods for Transition Metal Chemistry
  • 313,442 node-hours on Frontier
  • 145,628 node-hours on Aurora

Misun Min (Argonne National Laboratory)

  • Exascale Computing for Energy Applications
  • 200,000 node-hours on Frontier
  • 200,000 node-hours on Aurora
  • 50,000 node-hours on Polaris
  • 50,000 node-hours on Perlmutter-GPU

Ivan Oleynik (University of South Florida)

  • High Energy Density Physics of Novel Inertial Fusion Energy Ablator Materials
  • 900,000 node-hours on Frontier
  • 600,000 node-hours on Aurora

Raphael Ouillon (atdepth MRV)

  • A GPU-based multiscale ocean modeling system for real-time quantification of marine Carbon Dioxide Removal operations
  • 75,000 node-hours on Perlmutter-GPU

Jonathan Owens (GE Vernova Advanced Research Center)

  • Atomic-scale design and characterization of sorbents for carbon capture
  • 190,000 node-hours on Perlmutter-GPU

Bruce Perry (National Renewable Energy Laboratory)

  • High-fidelity combustor simulations to enable drop-in sustainable aviation fuels
  • 300,000 node-hours on Frontier
  • 60,000 node-hours on Perlmutter-CPU

Stephan Priebe (GE Research)

  • High-Fidelity Simulations of Open Fan Aeroacoustics Enabling Sustainable Aviation
  • 477,000 node-hours on Frontier

Igor Rakhno (Fermi National Accelerator Laboratory)

  • Radiation studies for intensity frontier projects DUNE-LBNF, Mu2e and PIP-II
  • 140,000 node-hours on Perlmutter-CPU

Robert Rudd (Lawrence Livermore National Laboratory)

  • Machine Learning Enabled Atomistic Simulation of Iron at Extreme Pressure
  • 150,000 node-hours on Polaris

Dillon Shaver (Argonne National Laboratory)

  • High-Fidelity CFD Enabling Advanced Nuclear Power
  • 200,000 node-hours on Frontier
  • 100,000 node-hours on Aurora
  • 50,000 node-hours on Polaris

Micholas Smith (The University of Tennessee, Knoxville)

  • Probing Lignocellulosic Biomass & Products via Large-Scale Molecular Simulation
  • 48,384 node-hours on Frontier
  • 145,920 node-hours on Perlmutter-GPU

Michael Sprague (National Renewable Energy Laboratory)

  • High-fidelity modeling and next-generation surrogate models for floating offshore wind energy
  • 475,000 node-hours on Frontier,
  • 35,000 node-hours on Perlmutter-CPU

Mark van Schilfgaarde (National Renewable Energy Laboratory)

  • Hierarchical, Scalable Green's Function Modeling of Chemistry at Interfaces
  • 610,000 node-hours on Frontier

Shinjae Yoo (Brookhaven National Laboratory)

  • Foundation Neuroscience AI Model-NeuroX
  • 152,000 node-hours on Frontier
  • 220,000 node-hours on Aurora
  • 70,000 node-hours on Polaris
  • 120,000 node-hours on Perlmutter-GPU

Yiqi Yu (Argonne National laboratory)

  • High Fidelity Numerical Analysis on Flow and Heat Transfer behavior in Involute Plate Research Reactor to Support the Conversion Program
  • 200,000 node-hours on Polaris
  • 500,000 node-hours on Perlmutter-CPU