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.
The University of California San Diego has been ranked 7th among public U.S. universities by the Center for World University Rankings (CWUR).
The NSF has awarded SDSC a two-year grant worth almost $400,000 to deploy a new system called CC* Compute: Triton Stratus as an enhancement to the existing Triton Shared Computing Cluster (TSCC) campus High-Performance Computing (HPC) platform.
The San Diego Supercomputer Center (SDSC) at UC San Diego has been awarded a five-year grant from the National Science Foundation (NSF) worth $10 million to deploy Expanse, a new supercomputer designed to advance research that is increasingly dependent upon heterogeneous and distributed resources.
NJIT Mechanical and Industrial Engineering Professor Dibakar Datta and his team used the Comet supercomputer at the San Diego Supercomputer Center to create simulations of graphene-water interactions to see if graphene is a good candidate for delivering medicine to specific parts of the body.
Bladder cancer, one of the most common cancers in the U.S., may be soon helped by a novel non-invasive diagnostic method thanks to machine learning research by researchers at UC San Diego's San Diego Supercomputer Center and Moores Cancer Center.
SDSC's Sherlock Division at SDSC) has announced the launch of Innovation Accelerator Platforms within its Sherlock Cloud infrastructure and its newest offering, Vyloc Cloud.
Researchers at the Georgia Institute of Technology are using supercomputers and machine learning techniques to find ways to build more capable capacitors that store more energy.
Biologists have provided the first example of cargo within bacteriophage cells transiting along treadmill-like structures. The discovery demonstrates that bacteria have more in common with sophisticated human cells than previously believed.