Projects

INCITE 2022

BIOLOGICAL SCIENCES

COMPBIO2: COMbining deep-learning with Physics-Based affinIty estimatiOn 2

PI: Peter Coveney, University College London
HOURS: ALCF: 100,000 Node-Hours

Design of Peptides and Proteins on Classical and Quantum Computing Hardware

PI: Vikram Mulligan, Flatiron Institute
HOURS: ALCF: 1,070,000 Node-Hours

CHEMISTRY

Heterogeneous Catalysis as a Collective Phenomenon Within Dynamic Ensembles of States

PI: Anastassia Alexandrova, University of California
HOURS: ALCF: 2,000,000 Node-Hours

Implementing a Dispersive Interaction Database through Quantum Monte Carlo

PI: Matteo Barborini, University of Luxembourg
HOURS: ALCF: 1,000,000 Node-Hours

Nuclear Matter Dynamics in Real Time and the Heaviest Elements in Nature

PI: Aurel Bulgac, University of Washington
HOURS: ALCF: 200,000 Node-Hours
OLCF: 140,000 Node-Hours

EARTH SCIENCE

New Window into Tropical Meteorology with Global 1 km Atmosphere-Ocean Simulations

PI: Inna Polichtchouk, European Centre for Medium-Range Weather Forecasts
HOURS: ALCF: 50,000 Node-Hours; OLCF: 520,000 Node-Hours

ENERGY TECHNOLOGIES

Automatic Building Energy Modeling (AutoBEM)

PI: Joshua New, Oak Ridge National Laboratory
HOURS: ALCF: 800,000 Node-Hours

ENGINEERING

First Principles Simulation of Hypersonic Flight

PI: Maninder Grover, Air Force Research Laboratory / University of Dayton Research Institute
HOURS: ALCF: 1,000,000 Node-Hours

High-Speed Turbulence with Shocks Over Non-Adiabatic and Flexible Walls

PI: Johan Larsson, University of Maryland
HOURS: ALCF: 1,750,000 Node-Hours

Online Machine Learning for Large-Scale Turbulent Simulations]

PI: Kenneth Jansen, University of Colorado Boulder
HOURS: ALCF: 1,200,000 Node-Hours

MATERIALS SCIENCE

Large-Scale Simulations of Light-Activated Matter

PI: Giulia Galli, University of Chicago and Argonne National Laboratory
HOURS: ALCF: 600,000 Node-Hours, OLCF: 290,000 Node-Hours

Predicting Ion Transport Kinetics at Complex Interfaces for Energy Storage

PI: Brandon Wood, Lawrence Livermore National Laboratory
HOURS: ALCF: 1,120,000 Node-Hours

Towards Predictive Calculations of Functional and Quantum Materials

PI: Paul Kent, Oak Ridge National Laboratory
HOURS: ALCF: 1,000,000 Node-Hours, OLCF: 430,000 Node-Hours

Ultrafast Control of Functional Materials

PI: Priya Vashishta, University of Southern California
HOURS: ALCF: 1,700,000 Node-Hours

PHYSICS

Ab-initio Nuclear Structure and Nuclear Reactions

PI: Gaute Hagen, Oak Ridge National Laboratory
HOURS: ALCF: 1,500,000 Node-Hours, OLCF: 590,000 Node-Hours

Approaching Exascale Models of Astrophysical Explosions

PI: Michael Zingale, Stony Brook University
HOURS: ALCF: 100,000 Node-Hours, OLCF: 590,000 Node-Hours

Electron Kinetic Plasma Physics of Black Hole Accretion Flows

PI: Dmitri Uzdensky, University of Colorado
HOURS: ALCF: 2,000,000 Node-Hours

First-Principles Simulations of Black Hole Accretion Flows and Coronae

PI: Luca Comisso, Columbia University
HOURS: ALCF: 1,000,000 Node-Hours

High-Fidelity Gyrokinetic Simulation of Tokamak and ITER Edge Physics

PI: Choongseock Chang, Princeton Plasma Physics Laboratory
HOURS: ALCF: 1,440,000 Node-Hours

Internal Structure of Strong Interaction Nambu-Goldstone Bosons

PI: Yong Zhao, Argonne National Laboratory
HOURS: ALCF: 200,000 Node-Hours

Next-Generation 3D Core-Collapse Supernova

PI: Adam Burrows, Princeton University
HOURS: ALCF: 1,850,000 Node-Hours

ALCC 2022–2023

BIOLOGICAL SCIENCES

Probabilistic Comparative Modeling of Colorectal Cancer Screening Strategies

PI: Jonathan Ozik, Argonne National Laboratory
HOURS: ALCF: 283,000 Node-Hours

COMPUTER SCIENCE

A Multiscale Surrogate Model for Fracture Evolution Using DeepONet

PI: George Karniadakis, Brown University
HOURS: ALCF: 50,000 Node-Hours, OLCF: 40,000 Node-Hours, NERSC: 60,000 Node-Hours

CHEMISTRY

Microscopic Insight Into Transport Properties of Li-Battery Electrolytes

PI: Wei Jiang, Argonne National Laboratory
HOURS: ALCF: 500,000 Node-Hours

EARTH SCIENCE

A Climate Model Ensemble for Understanding Future Changes to Extreme Weather

PI: Paul Ullrich, University of California
HOURS: ALCF: 900,000 Node-Hours, NERSC: 300,000 Node-Hours

ENERGY TECHNOLOGIES

High-Fidelity CFD Simulations Supporting the Needs of Industry and the DOE

PI: Dillon Shaver, Argonne National Laboratory
HOURS: ALCF: 400,000 Node-Hours, OLCF: 400,000 Node-Hours, NERSC: 100,000 Node-Hours

Investigation of Flow and Heat Transfer Behavior in Involute Plate Research Reactor with Large Eddy Simulation to Support the Conversion of Research Reactors to Low Enriched Uranium Fuel

PI: Yiqi Yu, Argonne National Laboratory
HOURS: ALCF: 500,000 Node-Hours

Modeling Operating Conditions in the US East Coast Offshore Wind Energy Lease Areas

PI: Sara Pryor, Cornell University
HOURS: ALCF: 142,000 Node-Hours

Predictive Simulations of Inertial Confinement Fusion Ablator Materials

PI: Ivan Oleynik, University of South Florida
HOURS: ALCF: 150,000 Node-Hours

ENGINEERING

HFIR DNS Simulation

PI: Emilian Popov, Oak Ridge National Laboratory
HOURS: ALCF: 224,000 Node-Hours

MATERIALS SCIENCE

Computational Design of Novel Semiconductors for Power and Energy

PI: Feliciano Giustino, University of Texas
HOURS: ALCF: 883,000 Node-Hours

PHYSICS

Cosmological Hydro Simulations to Explore the High and Low-Redshift Universe

PI: Zarija Lukić, Lawrence Berkeley National Laboratory
HOURS: ALCF: 100,000 Node-Hours, OLCF: 50,000 Node-Hours, NERSC: 50,000 Node-Hours

Energy Partition and Particle Acceleration in Laboratory Magnetized Shocks

PI: Frederico Fiuza, SLAC National Accelerator Laboratory
HOURS: ALCF: 860,000 Node-Hours

High Precision Hadronic Vacuum Polarization Contribution to the Muon Anomalous Magnetic Moment Using Highly Improved Staggered Quarks

PI: Steven Gottlieb, Indiana University
HOURS: ALCF: 100,000 Node-Hours, OLCF: 1,000,000 Node-Hours, NERSC: 100,000 Node-Hours

Particle-in-Cell Simulations of Beam-Driven, Field-Reversed Configuration Plasmas

PI: Jaeyoung Park, TAE Technologies, Inc.
HOURS: ALCF: 400,000 Node-Hours

Short Range Correlations from a Quantum Monte Carlo Perspective

PI: Noemi Rocco, Fermi National Accelerator Laboratory/ HOURS: ALCF: 730,000 Node-Hours

The Spectrum and Structure of Hadrons

PI: Robert Edwards, Jefferson Laboratory/ HOURS: ALCF: 300,000 Node-Hours

ALCC 2021–2022

BIOLOGICAL SCIENCES

Probabilistic Comparative Modeling of Colorectal Cancer Screening Strategies

PI: Jonathan Ozik, Argonne National Laboratory
HOURS: ALCF: 160,000 Node-Hours

CHEMISTRY

Microscopic Insight Into Transport Properties of Li-Battery Electrolytes

PI: Wei Jiang, Argonne National Laboratory
HOURS: ALCF: 1,032,000 Node-Hours

Multimodal Imaging with Intense X-ray Pulses

PI: Phay Ho, Argonne National Laboratory
HOURS: ALCF: 316,000 Node-Hours

EARTH SCIENCE

Advancing Multi-Year to Decadal Climate Prediction with High-Resolution E3SM and CESM

PI: Ben Kirtman, University of Miami
HOURS: ALCF: 1,000,000 Node-Hours

Improving the Representation of Mesoscale Convective Systems in Weather and Climate

PI: Andreas Prein, National Center for Atmospheric Research
HOURS: ALCF: 372,000 Node-Hours

Multi-Decadal, Climate-Scale Convection-Resolving Simulations for North America

PI: V. Rao Kotamarthi, Argonne National Laboratory
HOURS: ALCF: 300,000 Node-Hours

Multi-Scale Multi-Physics Ensemble Simulations for Aerosol-Cloud Interactions

PI: Po-Lun Ma, Pacific Northwest National Laboratory
HOURS: ALCF: 400,000 Node-Hours

ENERGY TECHNOLOGIES

Cavitation Dynamics in the Spallation Neutron Source Target

PI: Eric Johnsen, University of Michigan
HOURS: ALCF: 108,000 Node-Hours, OLCF: 4,000 Node-Hours

High-Fidelity CFD Simulations Supporting the Needs of Industry and the DOE

PI: Dillon Shaver, Argonne National Laboratory
HOURS: ALCF: 550,000 Node-Hours, OLCF: 80,000 Node-Hours

High-Fidelity Physics Simulations for DOE and Industry Fast Spectrum Nuclear Reactor Systems

PI: Emily Shemon, Argonne National Laboratory
HOURS: ALCF: 880,000 Node-Hours

High-Fidelity Simulation of Flow and Heat Transfer Behavior to Support Conversion of Research Reactors with Involute Shaped Fuel Elements to Low Enriched Uranium

PI: Yiqi Yu, Argonne National Laboratory
HOURS: ALCF: 500,000 Node-Hours

ENGINEERING

Multiscale Bubble Breakup and Gas Transfer in Turbulent Oceanic Environments

PI: Parviz Moin, Stanford University
HOURS: ALCF: 650,000 Node-Hours, NERSC: 500,000 Node-Hours

MATERIALS SCIENCE

Inverse Design of Multicomponent Oxide Catalysts with Generative Models and DFT

PI: Rafael Gomez-Bombarelli, Massachusetts Institute of Technology
HOURS: ALCF: 400,000 Node-Hours, OLCF: 50,000 Node-Hours, NERSC: 200,000 Node-Hours

Modeling of Polymeric Materials for Energy Storage Across Scales

PI: Juan de Pablo, University of Chicago
HOURS: ALCF: 100,000 Node-Hours

Response Functions of LaNiO2: Insights into High-Temperature Superconductivity

PI: Gabriel Kotliar, Rutgers University
HOURS: ALCF: 115,000 Node-Hours

PHYSICS

AI/Deep Learning Prediction & Real-Time Control for Fusion Energy Systems

PI: William Tang, Princeton University
HOURS: ALCF: 45,000 Node-Hours

LBNF - PIP-II Optimization Studies for Megawatt 120-GeV Beams on Target

PI: Igor Rakhno, Fermi National Accelerator Laboratory
HOURS: ALCF: 450,000 Node-Hours

Quantum Monte Carlo Calculations of Nuclei Up to 16O and Neutron Matter

PI: Alessandro Lovato, Argonne National Laboratory
HOURS: ALCF: 632,000 Node-Hours

AURORA EARLY SCIENCE PROGRAM

Accelerated Deep Learning Discovery in Fusion Energy Science

PI: William Tang, Princeton Plasma Physics Laboratory

Dark Sky Mining

PI: Salman Habib, Argonne National Laboratory

Data Analytics and Machine Learning for Exascale Computational Fluid Dynamics

PI: Kenneth Jansen, University of Colorado Boulder

Enabling Connectomics at Exascale to Facilitate Discoveries in Neuroscience

PI: Nicola Ferrier, Argonne National Laboratory

Exascale Computational Catalysis

PI: David Bross, Argonne National Laboratory

Extending Moore’s Law Computing with Quantum Monte Carlo

PI: Anouar Benali, Argonne National Laboratory

Extreme-Scale Cosmological Hydrodynamics

PI: Katrin Heitmann, Argonne National Laboratory

Extreme-Scale In-Situ Visualization and Analysis of Fluid-Structure-Interaction Simulations

PI: Amanda Randles, Duke University

Extreme-Scale Unstructured Adaptive CFD

PI: Kenneth Jansen, University of Colorado Boulder

High-Fidelity Simulation of Fusion Reactor Boundary Plasmas

PI: C.S. Chang, Princeton Plasma Physics Laboratory

Machine Learning for Lattice Quantum Chromodynamics

PI: William Detmold, Massachusetts Institute of Technology

Many-Body Perturbation Theory Meets Machine Learning to Discover Singlet Fission Materials

PI: Noa Marom, Carnegie Mellon University

NWChemEx: Tackling Chemical, Materials, and Biochemical Challenges in the Exascale Era

PI: Theresa Windus, Iowa State University and Ames Laboratory

Simulating and Learning in the ATLAS Detector at the Exascale

PI: Walter Hopkins, Argonne National Laboratory

Virtual Drug Response Prediction

PI: Rick Stevens, Argonne National Laboratory

ALCF DATA SCIENCE PROGRAM

Autonomous Molecular Design for Redox Flow Batteries

PI: Logan Ward, Argonne National Laboratory

Dynamic Compressed Sensing for Real-Time Tomographic Reconstruction

PI: Robert Hovden, University of Michigan

Learning Optimal Image Representations for Current and Future Sky Surveys

PI: George Stein, Lawrence Berkeley National Laboratory

Machine Learning for Data Reconstruction to Accelerate Physics Discoveries in Accelerator-Based Neutrino Oscillation Experiments

PI: Marco Del Tutto, Fermi National Accelerator Laboratory

DIRECTOR’S DISCRETIONARY

The following list provides a sampling of the many Director’s Discretionary projects at the ALCF.

BIOLOGICAL SCIENCES

Combining Physics-Based Analysis with AI to Accelerate COVID-19 Drug Discovery

PI: Tom Brettin and Hyunseung Yoo, Argonne National Laboratory

Large Ensemble Model of Single-Cell 3D Genome Structures

PI: Jie Liang, University of Illinois at Chicago

Modeling the Coronavirus

PI: Zhangli Peng, University of Illinois at Chicago

Non-Synaptic Communication and Axonal Remodeling After Exposure to Cocaine

PI: Bobby Kasthuri, Argonne National Laboratory

Observing the SARS-CoV-2 Replication-Transcription Machinery in Action

PI: Arvind Ramanathan, Argonne National Laboratory

Targeting Intrinsically Disordered Proteins Using Artificial Intelligence Driven Molecular Simulations

PI: Arvind Ramanathan, Argonne National Laboratory

CHEMISTRY

Adsorptive CO2 Removal from Dilute Sources

PI: John Low, Argonne National Laboratory

Massively Parallel Electronic Stopping Simulations of High Energy Particles in Solvated DNA

PI: Yosuke Kanai, University of North Carolina at Chapel Hill

Multimodal Imaging with Intense X-ray Pulses

PI: Phay Ho, Argonne National Laboratory

Structure Elucidation for Nuclear Magnetic Resonance via Structured Prediction

PI: Eric Michael Jonas, University of Chicago

COMPUTER SCIENCE

Bridging Data Center AI Systems with Edge Computing for Actionable Information Retrieval

PI: Zhengchun Liu, Argonne National Laboratory

Training of Language Models on Large Quantities of Scientific Text

PI: Ian Foster, Argonne National Laboratory

Unsupervised Analysis of Satellite Cloud Imagery

PI: Ian Foster, Argonne National Laboratory

MATERIALS SCIENCE

BraggNN: Fast X-ray Bragg Peak Analysis Using Deep Learning

PI: Zhengchun Liu, Argonne National Laboratory

Data-Driven Molecular Engineering of Solar-Powered Windows

PI: Jacqueline Cole, University of Cambridge

Materials Informatics Study of Two-Dimensional Magnetic Materials and Their Heterostructures

PI: Trevor David Rhone, Harvard University

Next-Generation Nonwoven Materials Manufacturing

PI: Ian Foster, Argonne National Laboratory

Structure and Properties of Grain Boundaries in Materials for Energy Applications

PI: Wissam A Saidi, University of Pittsburgh

PHYSICS

Deterministic Machine Learning for Latency-Critical Control Systems

PI: Kyle Felker, Argonne National Laboratory; William Tang, Princeton Plasma Physics Laboratory

Model Quality Breakthrough for Cosmic Background Removal

PI: Corey Adams, Argonne National Laboratory

Neural Network Quantum States for Atomic Nuclei

PI: Alessandro Lovato, Argonne National Laboratory

Reproducible, Interpretable, and Physics-Inspired AI Models in Astrophysics

PI: Eliu Huerta, Argonne National Laboratory