Leadership Resource Allocation

LRAC Awardees


The National Science Foundation approved allocations of supercomputing time on Frontera to 55 science projects for 2022-2023. Time on Frontera is awarded based on a project's need for very large scale computing to make science and engineering discoveries, and the ability to efficiently use a supercomputer on the scale of Frontera. The projects awarded allocations on Frontera will utilize a total of 62 million node hours and constitute approximately 80% of the total time on the system being allocated for this year.

2024 Awardees

Title Principal Investigator Organization
3-D Stellar Hydrodynamics of Convective Boundary Mixing and Shell Mergers in Massive Stars Paul Woodward University of Minnesota
First Applications of Enzo-E to Frontier Problems in Cosmology Michael Norman University of California San Diego
Multi-scale Dynamics of Kinetic Turbulence and Dynamo in Collisionless Astrophysical Plasmas Matthew Kunz Princeton University
TACC Frontera and super resolution cosmological simulations of galaxies and quasars Tiziana DiMatteo Carnegie Mellon University
STARFORGE: Simulating star formation with realistic physics and feedback Michael Grudic Carnegie Institution for Science
Long-term 3D Core-Collapse Supernova Simulations Adam Burrows Princeton University
Numerical Simulations of Interstellar Turbulence Alexei Kritsuk University of California San Diego
Extending the PRIYA Suite for the Lyman-alpha Forest and Baryonic Emulation in 11 Dimensions for the Roman Space Telescope Simeon Bird University of California Riverside
Simulations of reconnection-powered flares in magnetospheres of magnetars, binary neutron stars and black holes. Alexander Philippov University of Maryland College Park
Kinetic plasma processes in relativistic jets and accretion disks around black holes Gregory Werner University of Colorado Boulder
Merging Supermassive Binary Black Holes: Electromagnetic Outputs, Jet Interaction and Recoils Manuela Campanelli Rochester Institute of Technology
Multi-scale GRMHD Modeling of Accretion and Jets Alexander Tchekhovskoy Northwestern University
Heating and Particle Energization in Space and Astrophysical Plasmas Jason TenBarge Princeton University
Multi-scale, MHD-kinetic modeling of the solar wind and its interaction with the local interstellar medium Nikolai Pogorelov University of Alabama Huntsville
Improving Simulations, Predictions, and Projections of Changes in Extreme Events Under Future Warming Climate using High-Resolution Earth System Model Ping Chang Texas A&M University
Real-time Convection-Allowing Numerical Weather Prediction Model Ensembles for NOAA Testbeds Using FV3-LAM Keith Brewster University of Oklahoma
LRAC: NextGen Space Weather Modeling Framework Using Data, Physics and Uncertainty Quantification Gabor Toth University of Michigan
Development of accurate, transferable and extensible deep neural network potentials for molecules and reactions Olexandr Isayev Carnegie Mellon University
Multiscale Simulation and Modelling of Biomolecular Phenomena on Frontera Gregory Voth University of Chicago
Atomic-Level Characterization of the Human Immunodeficiency Virus Type 1 Envelope Glycoprotein Mahmoud Moradi University of Arkansas Fayetteville
Multiscale Modeling of Respiratory Aerosols and Viral Glycoproteins Rommie Amaro University of California San Diego
Direct numerical simulation and analysis of turbulent pipe flow at high Reynolds numbers Fazle Hussain Texas Tech University
Tracer particles and Statistical Modeling of Lagrangian Intermittency in High Reynolds Number Turbulence Pui-kuen Yeung Georgia Institute of Technology
Direct Numerical Simulations of Transport in Turbulent Boundary Layers over Sediment Bed Sourabh Vasant Apte Oregon State University
Laminar to Turbulent Transition in Hypersonic flow Induced by Shock-wave/Boundary-Layer Interactions using Kinetic Methods Deborah Levin University of Illinois Urbana-Champaign
Electron-Phonon Coupling in Correlated Quantum Materials Yao Wang Clemson University
Engineering electron-phonon interactions in functional materials Feliciano Giustino University of Texas at Austin
Classical Simulations of Planetary Materials with Quantum Accuracy Ivan Oleynik University of South Florida
Ab initio engineering of superconducting materials Elena Roxana Margine Binghamton University
Development of Operational Global Ocean Circulation Models and Hurricane Induced Storm Surge and Compound Flood Models for the United States Clinton N. Dawson University of Texas at Austin
Harnessing big satellite imagery, deep learning, and high-performance computing resources to map pan-Arctic permafrost thaw Chandi Witharana University of Connecticut
Simulating 4D subduction and continental evolution Lijun Liu University of Illinois Urbana-Champaign
(An)elastic global full-waveform inversion Hatice Bozdag Colorado School of Mines
Global, Repeat, and High-Resolution Earth Surface Elevation Data Production for the Scientific Community Claire Porter University of Minnesota
Mechanism of Ca2+-evoked synaptic vesicle fusion Jose Rizo-Rey University of Texas Southwestern Medical Center
Multi-Resolution Simulations of Mesoscale Biological Systems Aleksei Aksimentiev University of Illinois Urbana-Champaign
Petascale Integrative Approaches for de novo Protein Structure Prediction Ken Dill Stony Brook University
Hadron-Hadron scattering from lattice QCD Colin Morningstar Carnegie Mellon University
Research in Theoretical Hadronic Physics and Related Topics Carl Carlson William & Mary
Emergent Phenomena and Ultrafast Dynamics of Nonequilibrium Correlated Systems Cheng-Chien Chen University of Alabama at Birmingham
Large-scale simulations of lattice QCD with physical up, down, strange, and charm quarks Martha Constantinou Temple University
Beyond Standard Model Physics with Neutron Electric Dipole Moment Keh-Fei Liu University of Kentucky
Numerical Relativity Simulations of Compact Binary Mergers David Radice Penn State University
Light quark vacuum polarization at the physical point and contribution to the muon’s anomalous magnetic moment Thomas Blum University of Connecticut
Subseasonal to Interannual Prediction Experiments with the Unified Forecast System (UFS) Benjamin Cash George Mason University
Advancing Predictive Capability of High-throughput Methods for Drug Discovery (CHE20002) Darrin York Rutgers University
Predictive Characterization for the Additive Manufacture of Complex Metallic Alloys Ganesh Balasubramanian Lehigh University
Scalable Tools for High-Frequency Wave-Propagation with Applications in Optical Fiber Modeling Leszek Demkowicz University of Texas at Austin
Multi-fidelity uncertainty quantification and predictions in non-linear turbulent transport simulations in magnetic confinement devices Ionut Farcas University of Texas at Austin
Bridging short and long time scales in global plate tectonics Michael Gurnis California Institute of Technology
Efficient seismic simulation in challenging geological environments with a scalable frequency-domain solver Sergey Fomel University of Texas at Austin
Developing Foundational AI Models for Creating Agricultural Digital Twins Aditya Balu Iowa State University
Molecular Mechanism of Human Excitatory Amino Acid Transporters (EAATs) Emad Tajkhorshid University of Illinois Urbana-Champaign

View/Download PDF Versions of LRAC Awardee Project Abstracts

2024 Awardee Abstracts

2023 Awardee Abstracts

2022 Awardee Abstracts

2021 Awardee Abstracts

2020 Awardee Abstracts