October 21, 2020
October 21, 2020 —
Supercomputer simulations, done using resources at UC San Diego by researchers at the New Jersey Institute of Technology (NJIT), show how oil dilutes under specific conditions, which may lead to more effective countermeasures against large oil spills.
October 12, 2020
October 12, 2020 —
The transport of nine types of plastics floating in Lake Erie was modeled in studies that used SDSC's Comet supercomputer to create a 3D model of invasive plastic particles.
October 7, 2020
October 7, 2020 —
A team from the San Diego Supercomputer Center at UC San Diego contributed to a study led by the Vanderbilt Vaccine Center on T cell receptors, which play a vital role in alerting the adaptive immune system to mount an attack on invading foreign pathogens, including Coronavirus SARS-CoV-2.
September 10, 2020
September 10, 2020 —
Multi-university collaboration to jointly develop a new science gateway allowing researchers to study the behavior of new and existing materials using X-ray diffraction.
September 1, 2020
September 1, 2020 —
The San Diego Supercomputer Center at UC San Diego, the University of Washington, and UC Berkeley have entered production operations of the National Science Foundation-funded CloudBank program, which aims to simplify the use of public clouds across computer science research and education.
August 27, 2020
August 27, 2020 —
Physics researchers at UC San Diego successfully used machine learning techniques and supercomputer simulations to develop a new model for plasma turbulence o better understand its self-organization process.
August 24, 2020
August 24, 2020 —
The National Science Foundation has renewed funding for OpenTopography, a science gateway that provides online access to high-resolution topography data and processing tools to advance research and education in areas ranging from earthquake geology to ecology and hydrology.
August 14, 2020
August 14, 2020 —
A series of simulations using multiple supercomputers, including Comet at the San Diego Supercomputer Center at UC San Diego, suggests that when the neutron stars’ masses are different enough, the result is far noisier, making them easier to detect.
August 6, 2020
August 6, 2020 —
Researchers recently used Comet at the San Diego Supercomputer Center at UC San Diego to examine impacts of both regional and global changes affecting the Chesapeake Bay.
July 7, 2020
July 7, 2020 —
Researchers at the University of New Hampshire and elsewhere used SDSC's Comet supercomputer to validate a model using a machine learning technique called Dynamic Time Lag Regression (DTLR) to help predict the arrival of solar winds near the Earth’s orbit from physical parameters of the Sun.
