Berkeley Lab
Bringing Science Solutions to the World

Machine Learning Tool Could Provide COVID-19 Insights

A team of Berkeley Lab materials scientists — who normally spend their time searching for useful new materials — have built a text-mining tool in record time to help synthesize the mountain of scientific literature on COVID-19 that is being generated every day by the world’s scientists. https://newscenter.lbl.gov/2020/04/28/machine-learning-tool-could-provide-unexpected-scientific-insights-into-covid-19/

Uncovered: Physics of Superluminous Supernovae

For the first time ever, researchers simulated the 3D physics of superluminous supernovae — which are about a hundred times more luminous than typical supernovae. They achieved this milestone using Berkeley Lab’s CASTRO code and the National Energy Research Scientific Computing Center (NERSC). https://cs.lbl.gov/news-media/news/2020/nworlds-first-3d-simulations-illuminates-the-physics-of-superluminous-supernovae/

How Deadly is COVID-19?: A Time-Series Analysis Presentation Today

Comparison of the mortality rate in Italy’s older population from March 2020 to previous years will be presented on Thursday, April 23, at 4 p.m. by Lab researchers from the Physics Division. The analysis may provide an indicator of the mortality rate due to COVID-19 in the United States. https://www.google.com/calendar/event?eid=NW9sYzBrNHZvc2k0dTFyNGw1bmNncjA5cTRfMjAyMDA0MjNUMjMwMDAwWiBsYmwuZ292XzRzNHJyZzEybDZlcWc2bmNtYzJrdDB2Y2dnQGc&ctz=America/Los_Angeles

ESnet Helps Comcast Meet High COVID-Related Demand

A network diagnostic and performance measurement tool developed at the Energy Sciences Network (ESnet) is being used by Comcast to fine-tune the largest residential Internet network in the United States and help ensure its services remain up and running at top speed during the COVID-19 crisis. https://www.es.net/news-and-publications/esnet-news/2020/esnets-iperf3-helps-comcast-meet-customer-demand-during-covid-isp-surge/?ct=t(EMAIL_CAMPAIGN_2020421_ITL)