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Computational Research Division Hosts UC Merced Grad Students
On May 1, a group of students from UC Merced, all participants in the National Science Foundation’s Interdisciplinary Computational Graduate Education program, visited Berkeley Lab to learn about the many ways computing can be applied to research problems. Read More »
Envisioning the Future of Machine Learning and Data Analytics
Early to mid-career national lab mathematicians met at Berkeley Lab to discuss challenges in machine learning and data analytics and to seed new collaborations. Read More »
CRD Researchers Using Deep Learning to Help VA Identify Suicide Risk in Veterans
Researchers in Berkeley Lab's Computational Research Division are applying deep learning methods and data analytics to electronic health record data to help the Veterans Administration address a host of medical and psychological challenges affecting many of the nation’s 700,000 military veterans. Read More »
UniviStor: Next-generation Data Storage for Heterogeneous HPC
The Proactive Data Containers project team at Berkeley Lab is developing object-oriented I/O services designed to simplify data movement, data management, and data reading services on next-generation HPC architectures. Read More »
IDAES Process Systems Engineering Software Now Open Source
IDAES has released the first open-source version of its next-generation computational framework and model library, created to optimize the design of process systems engineering solutions used to model advanced energy systems. Read More »
CRD’s Ice Sheet Modeling Tool Probes Antarctic Vulnerabilities
The BISICLES ice sheet model uses high performance computing resources at the National Energy Research Scientific Computing Center (NERSC) to systematically examine where the Antarctic Ice Sheet is vulnerable and the resulting potential for large contributions to sea level rise. Read More »
New Computational Biosciences Group Aims to Build on Lab Strengths, Break Down Barriers
A new group in Berkeley Lab’s Computational Research Division (CRD) aims to tap into the lab's expertise in both computing and biosciences, crossing organizational lines to create an integrated team to develop new tools for addressing a range of scientific problems. Read More »
CRD Postdoc Posters Honored at SIAM-CSE Meeting
Two postdoctoral researchers in the Computational Research Division’s Center for Computational Sciences and Engineering won “best poster” during the recent SIAM-CSE meeting. Read More »
Mobiliti: A Game Changer for Analyzing Traffic Congestion
Berkeley Lab researchers have developed a software tool that uses supercomputing resources at the National Energy Research Scientific Computing Center to accurately simulate traffic flow throughout the San Francisco Bay Area road networks and provide estimates of the associated congestion, energy usage, and productivity loss. Read More »
NWB:N Consortium Rolls Out v2.0 of Software Ecosystem for Neuroscientists
The Neurodata Without Borders: Neurophysiology (NWB:N) project, led by Berkeley Lab, has achieved yet another milestone with the full release of NWB:N 2.0 in January. Read More »
