Figure from scientific publication related to Gordon Bell finalist

Multiscale Light-Matter Dynamics in Quantum Materials: From Electrons to Topological Superlattices

MLMD addresses the multiscale, multiphysics and hardware heterogeneity challenge using divide-conquer-recombine algorithms that split problems into spatial and physical subproblems matched to scale and optimal hardware. See the official presentation at SC25:Multiscale Light-Matter Dynamics in Quantum Materials: From Electrons to Topological Superlattices Session: ACM Gordon Bell Finalists Presentations Tuesday, 18 November 2025, 11:37am – 12:00pm CST Location: 261-262-265-266 Ye

Earth systems modeling for gordon bell modeling finalists

AERIS: Argonne Earth Systems Model for Reliable and Skillful Predictions

Gordon Bell Climate Modeling finalist AERIS captures Earth’s dynamic systems with extreme scale and precision. See how generative machine learning and diffusion-based methods are advancing billion-parameter modeling to new scientific frontiers. See the official presentation at SC25: AERIS: Argonne Earth Systems Model for Reliable and Skillful Predictions Session: ACM Gordon Bell Finalists Presentations Tuesday, 18 November 2025, 2:15pm

A vivid cosmology visual

Cosmological Hydrodynamics at Exascale: A Trillion-Particle Leap in Capability

Gordon Bell Prize finalist Explore cosmology at an unprecedented scale. Frontier-E simulates the universe with in-depth detail, making major advancements in predictive modeling. See the official presentation at SC25: Cosmological Hydrodynamics at Exascale: A Trillion-Particle Leap in Capability Session: ACM Gordon Bell Finalists Presentations Tuesday, 18 November 2025, 11:15am – 11:37am CST Location: 261-262-265-266 Nicholas Frontiere, Argonne National Laboratory J.D.

A visualization from the scientific publication related to this Gordon Bell finalist

Advancing Quantum Many-Body GW Calculations on Exascale Supercomputing Platforms

BerkeleyGW addresses computational challenges in GW excited-state methods, enabling large-scale ab initio materials simulations on Frontier and Aurora. Advancing Quantum Many-Body GW Calculations on Exascale Supercomputing PlatformsSession: ACM Gordon Bell Finalists Presentations Tuesday, 18 November 2025, 2:15pm – 2:37pm CST Location: 261-262-265-266 Benran Zhang, University of Southern California (USC)Daniel Weinberg, Lawrence Berkeley National LaboratoryChih-En Hsu, Tamkang UniversityAaron R.

An NVIDIA GPU

Argonne expands nation’s AI infrastructure with powerful new supercomputers and public-private partnerships

The U.S. Department of Energy (DOE), DOE’s Argonne National Laboratory, NVIDIA and Oracle today announced a landmark public-private partnership to deliver the DOE’s largest AI supercomputer and accelerate scientific discovery. Argonne is also deploying three new AI computing systems through an existing partnership with NVIDIA, HPE and World Wide Technology (WWT). New DOE, NVIDIA and Oracle partnership for next-generation AI supercomputing The DOE, Argonne, NVIDIA and Oracle partnership will immediately deliver world-class AI computing resources