Tissues which consist largely of collagen were the focus of a recent collaborative study by a team from Stanford University and Purdue University. To accomplish their work, they used the Comet supercomputer at the San Diego Supercomputer Center at UC San Diego.
Researchers from MIT have succeeded in developing an artificial intelligence (AI) approach to detect electron correlation – the interaction between a system’s electrons – which is vital but expensive to calculate in quantum chemistry.
Thanks to NSF-funded supercomputers including Comet at the San Diego Supercomputer Center at UC San Diego, the research community has been making progress on developing more reliable and efficient batteries that may power tomorrow's electric vehicles and other products.
As mandates prevented gatherings over the holiday season, crowds in Chile and Argentina donned masks and eye shields to view some a two-minute solar eclipse on December 14. A week before, researchers at PSI used SDSC's Expanse supercomputer to see how closely they could simulate the event.
Simulations conducted using the Comet supercomputer at UC San Diego's San Diego Supercomputer Center provide new insights on how chloride corrodes structural metals, causing severe economic and environmental impacts.
New simulations done on supercomputers may help researchers understand how these inhibitors react and potentially help to develop a new generation of drugs to target viruses with high death rates including SARS-CoV2, the virus that causes COVID-19.
Researchers recently created detailed simulations on the Comet system at the San Diego Supercomputer Center showing how these stiff red blood cells flow through blood vessels, deforming and colliding along the way.
The San Diego Supercomputer Center at UC San Diego announced that its new Expanse supercomputer formally entered service for researchers following a program review by the National Science Foundation, which awarded SDSC a grant in mid-2019 to build the innovative system.
A team of SDSC researchers recently created a pharmacophore model and conducted data mining of the database of drugs approved by the U.S. Federal Drug Administration (FDA) to find potential inhibitors of papain-like protease of SARS-CoV2, one of the main viral proteins responsible for COVID-19
A team fielded for the first time by SDSC and UC San Diego achieved 4th place overall out of 19 teams in the Student Cluster Competition, held during the annual Supercomputing Conference (SC20).