2023 Science Highlights

In 2023, scientists from across the world used ALCF supercomputing and AI resources to accelerate discovery and innovation across a wide range of research areas. The following science highlights detail some of the groundbreaking research campaigns carried out by ALCF users over the past year.


Biological Sciences

Identifying Reaction Coordinates for Complex Protein Dynamics

PI: Ao Ma, University of Illinois Chicago
Biological Sciences

Probabilistic Comparative Modeling of Colorectal Cancer Screening Strategies

PI: Jonathan Ozik, Argonne National Laboratory
Biological Sciences

Multiphysics Modeling of Blood Flow with Cell Suspensions in Patient- Specific Capillary Network

PI: Jifu Tan, Northern Illinois University
Energy Technologies

Assessment of Turbulent Prandtl Number for Heavy Liquid Metal Flow in a Bare Rod Bundle

PI: Yiqi Yu, Emily Shemon, Argonne National Laboratory
Energy Technologies

High-Fidelity Simulations of Gas Turbine Combustors for Sustainable Aviation Applications

PI: Muhsin Ameen, Sicong Wu, Argonne National Laboratory
Engineering

First-Principles Simulation of Hypersonic Flight

PI: Maninder Grover, University of Dayton Research Institute
Materials Sciences

AI-Guided Exascale Simulations of Quantum Materials Manufacturing and Control

PI: Aiichiro Nakano, University of Southern California
Materials Science

First-Principles Simulation of Electronic Stopping Excitation and Beyond

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

Towards DMC Accuracy Across Chemical Space with Scalable Δ-QML

PI: Paul Kent, Oak Ridge National Laboratory; Anouar Benali, Argonne National Laboratory
Physics

Electron Kinetic Plasma Physics of Black Hole Accretion Flows

PI: Dmitri Uzdensky, University of Colorado