Pathways Allocation

Pathways Awardees

The National Science Foundation approved allocations of supercomputing time on Frontera to 26 Pathway projects, starting in June 2020 and running for a year. Pathways allocations are designed to provide compute time to science teams with a strong scientific justification for access to a leadership-class computing resource. Successful applicants will use the allocation award to work with the Frontera team to scale their codes in order to effectively use the system.

Principal Investigator Organization Title Allocation Date
Falk Amelung University of Miami Continent-scale InSAR velocity fields for volcanology and tectonics October 2020
David Baker University of Washington Mini-Protein Binder Design April 2020
Jaehan Bae Carnegie Institution of Washington Planet-disk interaction in three dimensions July 2020
Scott Baker UNAVCO Corporation Cyberinfrastructure for GeoSciFramework and Big Data Innovation July 2020
David Benkeser Emory University Using Frontera GPU computing to accelerate developments in interpretable machine learning October 2020
Amneet Pal Bhalla San Diego State University Development of multiphase fluid-structure interaction methods October 2020
Keith Brewster University of Oklahoma Real-time High Resolution Ensemble Numerical Weather Forecasts Using SAR-FV3 for the Hydrometeorology Testbed - Ramping toward Exascale October 2020
Nipavan Chiamvimonvat University of California, Davis Regulation of cardiac small-conductance calcium-activated potassium channel October 2020
Matthew Clement Carnegie Institution of Washington Investigating the Final Assembly of the Inner Solar System with GPU Acceleration April 2020
Jonathan Grossman Rice University Future Application, Programming Model, and Runtime Research for OpenSHMEM Deborah Levin University of Illinois Numerical simulations of plasma based flowsusing heterogeneous computational strategies. April 2020
Michael Grudic Northwestern University Exploring the Physical Ingredients of Star Formation with Simulations Alexei Kritsuk University of California, San Diego Numerical Simulations of Interstellar Turbulence April 2020
Gian Giacomo Guerreschi Intel Corporation Large-scale simulation of quantum computers with realistic noise models July 2020
Fan Guo Los Alamos National Laboratory Plasma Dynamics and Particle Acceleration in 3D Relativistic Magnetic Reconnection April 2020
Kathryn Hamilton Drake University R-Matrix with Time Dependence Calculations for Ultrafast Atomic Processes in Strong Laser Fields July 2020
Peter Hamlington University of Colorado Structure and Dynamics of Highly Turbulent Premixed Combustion Evan Ma Johns Hopkins University Predicting orientation-dependent plastic events in amorphous solids via deep learning April 2020
Ulrich Hansmann University of Oklahoma Exploration of Energy Landscapes of Protein Folding and Amyloid Formation April 2020
Lorraine Hwang Computational Infrastructure for Geodynamics, UC Davis Computational Infrastructure for Geodynamics - Community Code Scaling July 2020
Lizy John University of Texas at Austin GPU-Accelerated Computing for Solving Partial Differential Equations using Nodal Discontinuous Galerkin Methods April 2020
Boris Kozinsky Harvard University Advanced machine learning force field development for linear alkoxy dehydrogenation on Cu-based catalysts April 2020
Alexei Kritsuk University of Californias, San Diego Numerical Simulations of Interstellar Turbulence April 2020
Krishna Kumar University of Texas at Austin MPM: Towards a peta-scale simulation of landslide hazards April 2020
Kristina Launey Louisiana State University Ab initio nuclear structure and reactions for light to medium-mass nuclei July 2020
Deborah Levin University of Illinois Numerical Simulations of Plasma Based Flowsusing Heterogeneous Computational Strategies April 2020
Ju Li Massachusetts Institute of Technology Development of Universal Interatomic Potentials Based on Graph Convolutional Neural Networks and First-Principles Calculations October 2020
Ying Li University of Connecticut Multiscale Modeling of Blood Circulation and Tumor Extravasation of Nanomaterials for Targeted Drug Delivery April 2020
Evan Ma Johns Hopkins University Predicting Orientation-Dependent Plastic Events in Amorphous Solids via Deep Learning April 2020
Ivan Oleynik University of South Florida Predictive Simulations of Phase Transitions in Dynamically Compressed Silicon April 2020
Michael Pritchard University of California, Irvine Advancing understanding of aerosol-cloud feedback using the world's first global climate model with explicit boundary layer turbulence October 2020
Dong Qian University of Texas at Dallas Develop A Data-driven Approach To The Mechanics of Nanoscale Interfibrillar Interface in Collagen July 2020
Diana Qiu Yale University First-principles study of many-body interactions and excited-state properties in two-dimensional systems October 2020
Jose Rizo-Rey University of Texas Southwestern Medical Center Mechanism of Ca2+-evoked synaptic vesicle fusion July 2020
Stuart Shapiro University of Illinois at Urbana-Champaign Studies In Theoretical Astrophysics and General Relativity July 2020
Joan-Emma Shea University of California, Santa Barbara Protein Stability in Mixed Osmolyte Conditions and the Self-assembly of the Tau Protein July 2020
Ashok Srinivasan   Pedestrian Dynamics-Based Analysis of Infection Propagation Through Air Travel Matthew Clement Carnegie Institution of Washington Investigating the final assembly of the inner solar system with GPU acceleration April 2020
Rob Stoll University of Utah Understanding and Modeling the Role of Horizontal Heterogeneity on the Dynamics of the Nocturnal Boundary Layer Across Scales October 2020
Hari Sundar University of Utah Massively parallel simulations of binary black hole intermediate-mass-ratio inspirals: Computational contributions for LIGO/LISA October 2020
Tyson Swetnam University of Arizona Cyberinfrastructure hybrid for scalable machine learning and visualization using genomic and geospatial datasets October 2020
Devarajan Thirumalai University of Texas at Austin Computational and Theoretical Studies on DNA Folding, Eukaryotic Chromosomes, and Glassy Materials April 2020
Liang Xu University of Texas at San Antonio Dynamics of Aquaporin Membrane Junctions July 2020
Bilge Yildiz Massachusetts Institute of Technology Prediction of functional defect properties in materials for clean energy and brain-inspired information processing April 2020
Zhao Zhang University of Texas at Austin Fast and Accurate Deep Learning on Distributed Systems October 2020

View October 2020 LSCP and Pathways Project Abstracts (53 KB PDF)

View July 2020 LSCP and Pathways Project Abstracts (53 KB PDF)

View April 2020 LSCP and Pathways Project Abstracts (127 KB PDF)