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ESS-DIVE: A Game Changer for Environmental Research

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Developed by Berkeley Lab CRD, NERSC and EESA researchers, ESS-DIVE is a new digital archive that serves as a repository for hundreds of Dept. of Energy-funded research projects under the agency’s Environmental System Science umbrella. » Read More

Tess Smidt, 'Atomic Architect'

Tess Smidt

Berkeley Lab’s 2018 Luis W. Alvarez Fellow in Computing Sciences Tess Smidt is designing a neural network that can automatically generate novel atomic crystal structures. » Read More

Berkeley Lab Joins Exascale Machine Learning Effort

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The Exascale Computing Project has initiated ExaLearn, a new ECP co-design center focusing on exascale machine-learning software. Berkeley Lab is one of eight national labs participating. » Read More

Summer Students Apply Deep Learning to Biology

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Two computer/software engineering students from the University of Puerto Rico are spending their summer in Berkeley Lab's Computational Chemistry, Materials & Climate Group developing new deep learning methods to address a grand challenge in structural biology. » Read More

Berkeley Lab Hosts Eight CSGF Fellows in 2018

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This year, Berkeley Lab will be hosting eight Department of Energy Computational Science Graduate Fellows (CSGF). These represent some of the nation’s brightest graduate students in computational science, each pursing a doctoral degree in a field that uses high performance computing to solve complex science and engineering problems. » Read More

New Machine Learning Tools to Search Science Data

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Science Search, a web-based search engine for scientific data is currently being developed by a team of researchers in Berkeley Lab's CRD and NERSC. The team is also developing innovative machine learning tools to automatically generate missing metadata tags for each file. » Read More

News

20180809 Parallel Workshop

Educating for Exascale

August 10, 2018

Some 25 graduate and post-graduate students recently spent four intense days preparing for the next generation of parallel supercomputers and exascale at the Parallel Computing in Molecular Sciences (ParCompMolSci) Summer School and Workshop hosted by Berkeley Lab held August 6-9 in downtown Berkeley.

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Tess Smidt, “Atomic Architect” and 2018 Luis Alvarez Fellow

July 26, 2018

To non-scientists, Tess Smidt describes herself as an “atomic architect.” And as Berkeley Lab’s 2018 Luis W. Alvarez Fellow in Computing Sciences, Smidt is designing a neural network that can automatically generate novel atomic crystal structures.


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Berkeley Lab-Developed Digital Library is a Game Changer for Environmental Research

July 24, 2018

Developed by Berkeley Lab researchers, ESS-DIVE is a new digital archive that serves as a repository for hundreds of U.S. Department of Energy-funded research projects under the agency’s Environmental System Science umbrella.

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New ECP Co-Design Center to Focus on Exascale Machine Learning

July 20, 2018

The Exascale Computing Project has initiated ExaLearn, a new ECP co-design center focusing on exascale machine-learning software. Berkeley Lab is one of eight national labs participating.