A new center for advancing computational science and networking at research institutions and universities across the country opened today at Berkeley Lab. Named Wang Hall, the facility will house the National Energy Research Scientific Computing Center (NERSC), one of the world’s leading supercomputing centers for open science, and be the center of operations for DOE’s Energy Sciences Network (ESnet), the fastest network dedicated to science.
Scientists aspire to build nanostructures that mimic the complexity and function of nature’s proteins, but are made of durable and synthetic materials. These microscopic widgets could be customized into incredibly sensitive chemical detectors or long-lasting catalysts, to name a few possible applications. A discovery by Berkeley Lab scientists is a step in that direction.
With the advent of new technology, scientific facilities are collecting data at increasing rates and higher resolution. However, making sense of this data is becoming a major bottleneck. To address these growing needs, the Department of Energy has announced approval of a grant of $10.5 million over three years to expand the Center for Advanced Mathematics for Energy Research Applications at Berkeley Lab.
From individual universities around the country to a consortium of research institutions stretching the length of the west coast, networking teams are deploying an infrastructure architecture known as the Science DMZ developed by the Department of Energy’s Energy Sciences Network (ESnet ) to help researchers make productive use of ever-increasing data flows.
Before scientists can unlock the secrets of the human brain, they must fully understand neurons—the cells of our brain, spinal cord and overall nervous system. Thousands of detailed neuron images, from different organisms, currently sit in individual data collections across the globe, comprising several petabytes of data altogether. Despite this plethora of data, made possible