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pytcho 2019

CAMERA Hosts 2019 Ptycho Developers Workshop

June 13, 2019

Ptycho-tomography and spectro-ptychography are the most computationally intensive techniques being developed at the Advanced Light Source and light sources around the world. Read More »

ExaStar whiteDwarfMerger

ExaStar Takes Astrophysical Research to the Exascale

June 10, 2019

Within the next few years, exascale computing will take computationally intensive astrophysics research to the next level. However, to harness the power of exascale, researchers will need new code developed specifically for exascale computing. The ExaStar project has researchers from multiple DOE national labs collaborating to develop new exascale-level code. Read More »

Shreyas Cholia 2019

National Academies Taps Cholia for Scientific Workflows Committee

May 20, 2019

Shreyas Cholia has been invited by the National Academies of Sciences, Engineering, and Medicine to serve as a member for the Realizing Opportunities for Advanced and Automated Workflows in Scientific Research committee. Read More »


CosmoGAN: Training a Neural Network to Study Dark Matter

May 14, 2019

A Berkeley Lab-led research group is using a deep learning method known as generative adversarial networks to enhance the use of gravitational lensing in the study of dark matter. Read More »


Computational Research Division Hosts UC Merced Grad Students

May 7, 2019

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 »

20190402 DOE Math Visioning Group 1200x658

Envisioning the Future of Machine Learning and Data Analytics

April 15, 2019

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 »

Brain Computer With Background

CRD Researchers Using Deep Learning to Help VA Identify Suicide Risk in Veterans

April 4, 2019

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

April 1, 2019

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 framework components

IDAES Process Systems Engineering Software Now Open Source

March 22, 2019

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

March 12, 2019

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 »