March 4, 2020
March 4, 2020 —
Researchers at the University of Rhode Island (URI) used the San Diego Supercomputer Center’s 'Comet' supercomputer to show that high-performance computer modeling can accurately simulate tsunamis from volcanic events.
February 3, 2020
February 3, 2020 —
Researchers at Oregon State University have been using the Comet supercomputer at SDSC to test an algorithm they believe will reduce errors in the widely used three-day forecasts for water temperature, salinity levels, sea heights, and currents off the Oregon and Washington coasts.
December 17, 2019
December 17, 2019 —
Building upon decades of research on how to make boron carbide even more efficient, an engineering team at the University of Florida (UF) has been conducting simulations using SDSC's Comet supercomputer to better understand the nanoscale level of this important material.
December 17, 2019
December 17, 2019 —
Building upon decades of research on how to make boron carbide even more efficient, an engineering team at the University of Florida (UF) has been conducting simulations using SDSC's Comet supercomputer to better understand the nanoscale level of this important material.
December 5, 2019
December 5, 2019 —
The amount of carbon in the Earth’s terrestrial ecosystems is likely to decline by about 10 percent through the year 2100, according to USGS researchers who used SDSC's 'Comet' supercomputer to conduct simulations.
December 5, 2019
December 5, 2019 —
The amount of carbon in the Earth’s terrestrial ecosystems is likely to decline by about 10 percent through the year 2100, according to USGS researchers who used SDSC's 'Comet' supercomputer to conduct simulations.
November 1, 2019
November 1, 2019 —
San Diego-based Predictive Science, Inc. this week released their first forecast for the 2019-2020 influenza season, which typically runs from November through March.
September 18, 2019
September 18, 2019 —
Researchers used SDSC's Comet supercomputer to better understand the wake effects of large floating wind farm arrays, which have become more prevalent in recent years.
September 18, 2019
September 18, 2019 —
Researchers used SDSC's Comet supercomputer to better understand the wake effects of large floating wind farm arrays, which have become more prevalent in recent years.
August 29, 2019
August 29, 2019 —
Researchers at SDSC, LANL, and UNC Chapel Hill have developed a machine learning approach called transfer learning that lets them model novel materials by learning from data collected about millions of other compounds.
