news, journals and articles from all over the world.
According to the World Health Organization, one in six worldwide deaths are attributed to cancer, but not due to initial malignant tumors. They were caused by the spread of cancer cells to surrounding tissues, which consist largely of collagen. That was the focus of a recent study by Stanford University and Purdue University researchers.
Researchers at the Massachusetts Institute of Technology (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.
Supercomputers funded by the National Science Foundation are being used to develop more reliable and efficient electric vehicles and other products by focusing on the batteries that power them.
While researchers have been studying chloride’s corrosive effects on various materials for decades, high-performance computers were recently used to create detailed simulations to provide new insight on how chloride leads to corrosion.
University of New Hampshire (UNH) researchers recently used high-performance supercomputers to identify new inhibitor binding/unbinding pathways in an RNA-based virus. The findings could be beneficial in understanding how these inhibitors react and potentially help develop a new generation of drugs to target viruses with high death rates, such as HIV-1, Zika, Ebola, and SARS-CoV2, the virus that causes COVID-19.
Researchers recently created detailed simulations showing how stiff red blood cells flow through blood vessels, deforming and colliding along the way.
A team of 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.
The transport of nine types of plastics floating in Lake Erie was modeled in two studies that used the Comet supercomputer at the San Diego Supercomputer Center (SDSC) to compare a two-dimensional model with a new Great Lakes microplastic dataset and then develop the first ever three-dimensional mass estimate for plastic in Lake Erie.
While researchers around the world race to develop an effective and safe COVID-19 vaccine, a team from the San Diego Supercomputer Center (SDSC) at UC San Diego contributed to a study led by Vanderbilt Vaccine Center of Vanderbilt University Medical Center (VUMC) on T cell receptors, which play a vital role in alerting the adaptive immune system to mount an attack on invading foreign pathogens including the Coronavirus SARS-CoV-2.
UC San Diego researchers published a study that used the ‘Comet’ supercomputer at the San Diego Supercomputer Center on campus showing how machine learning produced a model for plasma turbulence.
A series of simulations using multiple supercomputers, including Comet at the San Diego Supercomputer Center (SDSC) at UC San Diego, suggests that when the neutron stars’ masses are different enough, the result is far noisier. The models predicted an electromagnetic ‘bang,’ which isn’t present when the merging stars’ masses are similar, according to researchers.
Researchers at the University of New Hampshire used SDSC’s Comet supercomputer to validate a model using a machine learning technique called Dynamic Time Lag Regression (DTLR) to help predict the solar wind arrival near the Earth’s orbit from physical parameters of the Sun.
Researchers from Harvard University and the University of Texas Medical Branch at Galveston recently used the Comet supercomputer at the San Diego Supercomputer Center (SDSC) at the University of California San Diego to uncover the novel ways in which DNA prepares itself for repair.
Because of silicon’s relatively high cost, hybrid organic-inorganic perovskites (HOIPs) have emerged as a lower-cost and highly efficient option for solar power, according to a recent study by Georgia Institute of Technology (Georgia Tech) researchers.
Researchers from the Colorado School of Mines have been using multiple supercomputers to study certain characteristics of zirconia. The team recently published their findings in the Journal of the European Ceramic Society.
Using supercomputers, scientists have developed for the first time a way to screen drugs through their chemical structures for induced arrhythmias.
University of Texas at Austin researchers recently simulated the catalytic mechanism and atomic structure of nickel-doped graphene using Comet at the San Diego Supercomputer Center (SDSC) and Stampede2 at the Texas Advanced Computing Center. The simulations showed how the catalyst converts carbon dioxide into carbon monoxide, an important feedstock for chemical engineering.
The San Diego Supercomputer Center at the University of California San Diego is providing priority access to its high-performance computer systems and other resources to researchers advancing our understanding of the virus and efforts to develop an effective vaccine in as short a time as possible.
Researchers at Sand Diego State University and the Polytechnic University of Turin in Italy used supercomputer simulations to study how ocean wave energy converters can harness energy and turn it into into electricity, offering the potential to reduce our reliance on fossil fuels.
Researchers at the University of Rhode Island (URI) used San Diego Supercomputer Center’s (SDSC) Comet supercomputer to show that high-performance computer modeling can accurately simulate tsunamis from volcanic events. Such models could lead to early-warning systems that could save lives and help minimize catastrophic property damage.
Researchers at Oregon State University have been using the Comet supercomputer at the San Diego Supercomputer Center to test an algorithm that they believe will reduce errors in the widely used three-day forecasts for water temperature, salinity levels, sea heights, and currents off the coasts of Oregon and Washington.
A new study published late last year in the Monthly Notices of the Royal Astronomical Society explored the molecular gas within and surrounding the intracluster medium, which fills the space between galaxies in a galaxy cluster.
A comprehensive analysis of 10,575 genomes as part of a multi-national study led by researchers at UC San Diego has revealed close evolutionary proximity between the microbial domains at the base of the tree of life, the branching pattern of evolution described by Charles Darwin more than 160 years ago in his book, On the Origin of Species.
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 deformation mechanisms of this important material.
The Global Change Biology Journal earlier this year published findings related to the Effects of 21st Century Climate, Land Use, and Disturbances on Ecosystem Carbon Balance in California after using the San Diego Supercomputer Center’s Comet supercomputer to create simulations of various global climate, land-use, and emissions models.
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.
The Comet supercomputer at the San Diego Supercomputer Center (SDSC) and the Stampede2 supercomputer at the Texas Advanced Computing Center (TACC) were used to perform simulations that showed how floating turbine wakes are very similar those of fixed-bottom turbines, except that floating turbine wakes are deflected upward and have slightly stronger turbulence at the edge of their wakes.
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