DOE CSGF 2022: DOE Office of Science Welcome

(13:41)

DOE CSGF 2024: DOE NNSA Welcome

(14:39)

DOE CSGF 2024: DOE Office of Science Welcome

(4:35)

DOE CSGF 2023: Announcement of the 2023 Frederick Howes Scholar

(4:35)

UT-Austin’s Devin Matthews on how the DOE CSGF influenced his computational chemistry research

(2:28)

DOE CSGF 2017: HACC: Fitting the Universe Inside a Supercomputer

(16:54)

DOE CSGF 2015: DOE Office of Science Welcome

(13:39)

DOE CSGF 2017: Welcome - Barbara Helland

(9:12)

DOE CSGF 2024: Learning from Kernels: HPC in Plant Breeding

(16:27)

Introduction to Plasma Physics I: Magnetohydrodynamics - Matthew Kunz

(1:27:36)

DOE CSGF 2011: Turbulence: V\u0026V and UQ Analysis of a Multi-scale complex system

(54:28)

DOE CSGF 2011: On optimization of shape and topology

(16:35)

DOE CSGF 2024: Optimal Power Grid Expansion Planning using Differentiable Electricity Models

(13:58)

DOE CSGF 2012: Multiscale Modeling of Materials: Linking Microstructure and Macroscopic Behavior

(46:32)

DOE CSGF 2024: Towards Useful Quantum Simulation With Reconfigurable Rydberg Atom Arrays

(17:5)

DOE CSGF 2024: Operator Learning for PDEs: Function Space Theory Meets Machine Learning

(14:46)

DOE CSGF 2024: Model-Driven Verification of Enhanced Weathering for Carbon Dioxide Removal

(14:19)

DOE CSGF 2024: Reduced Order Chemistry Modeling for Detonations

(16:12)

DOE CSGF 2012: Shock Boundary Layer Interaction in Over-expanded Nozzles

(15:32)

DOE CSGF Recipient Alnur Ali of Carnegie Mellon on the Fellowship and Machine Learning

(2:34)

DOE CSGF 2013: A Nonhydrostatic, Isopycnal-Coordinate Ocean Model

(16:7)

DOE CSGF 2013: AMR Simulations of Cosmic Ray Electrons in Clusters of Galaxies

(15:26)

DOE CSGF 2013: Inferring Gene Regulation From High-Throughput Biological Data

(17:56)

DOE CSGF 2023: Unraveling Electrostatic Interactions in Dipolar Solvents

(17:42)

DOE CSGF 2023: The Foundation for a Ground-Up \u0026 Robust Approach to Computational Magnetic Materia...

(12:47)

DOE CSGF 2020: The Milky Way in Seven Dimensions

(14:31)

DOE CSGF 2023: Scientific Machine Learning for Modeling and Simulating Complex Fluids

(14:9)

Princeton University’s Kyle Felker on the DOE CSGF and Computational Astrophysics

(1:56)

DOE CSGF 2011: ____Scale Computing: How Did We Get Here and What's Next?

(52:14)

DOE CSGF 2022: Superresolution with the Zero-Phase Imaging Condition

(15:15)