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Tag: SciData

The SciData Division’s Jean Luca Bez Receives BSSw Honorable Mention

EQSIM Shakes Up Earthquake Research at the Exascale Level

Figure 1. The multiscale computational challenge of fault-to-structure simulations starting from the earthquake source, continuing through regional-scale wave propagation in a heterogeneous earth at a scale of hundreds of kilometers (“Regional geophysics domain”) and ending at local interaction between complex incident seismic waves with a soil-structure system at a scale of 30–50 m (“Local engineering system domain”). (Credit: David McCallen)

SC22 Recap: For Berkeley Lab, a Gordon Bell Prize Win and More

CS Staff to Present at 2022 American Geophysical Union Meeting

New ‘Fair Universe’ Project Aims to Build Supercomputer-Scale AI Benchmarks for HEP and Beyond

This is a composite image of NGC 6357, a "cluster of clusters" located in our galaxy about 5,500 light years from Earth where radiation from hot, young stars energizes the cooler gas in the cloud that surrounds them, creating a cosmic dust "winter wonderland." (Credits: X-ray by NASA/CXC/PSU/L.Townsley et al; Optical by UKIRT; Infrared by NASA/JPL-Caltech)

Berkeley Lab Staff Gear Up for SC22

SC22

Berkeley Lab Scientists Win IEEE LDAV Best Paper Award

Sharing a Common Data Format for Neurophysiology

(Credit: Allen Institute for Brain Science)

Future-Oriented Report Contributes a Next Step in the Application of Computing to Scientific Discovery

Summer Research Program Wraps with Poster Sessions

Muna Tageldin, a Ph.D. student from Marquette University, presents her research at the culminating poster session for the 2022 CSA Summer Program.

Berkeley Lab’s PARETO Wins Award for Engineering Innovation

Neuroscience Simulations at NERSC Shed Light on Origins of Human Brain Recordings

Rendering of a full-scale biophysically detailed model of a cortical column. The simulation had ~30,000 neurons and ~30,000,000 compartments. The color indicates the flow of current through compartments. The visualization was created by Burlen Loring, Lawrence Berkeley National Laboratory. (Credit: Burlen Loring, Berkeley Lab)
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