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Mariam Kiran

Machine Learning to Add Another Dimension to ESnet's Toolbox for Predicting Data Patterns

November 6, 2020

A research project called DAPHNE, led by ESnet’s Mariam Kiran, is exploring how artificial intelligence can be used to design and efficiently manage distributed network architectures to improve data transfers, guarantee high-throughput, and improve traffic engineering. Read More »

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Berkeley Lab’s Bert de Jong talks about the First International Workshop on Quantum Software

November 4, 2020

In this Q+A, Berkeley Lab Senior Scientist Bert de Jong talks about what attendees can expect at the first-ever International Workshop on Quantum Computing Software, to be held November 11 during SC20. Read More »

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NERSC Supports COVID-19 Pandemic Response

November 2, 2020

Since April 2020, NERSC has allotted 2.5 million node hours on its Cori supercomputer and has provided dedicated HPC staff liaisons and other resources to support COVID-19 research. Read More »

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Berkeley Lab Computing Sciences Goes Virtual at SC20

October 30, 2020

As they have for nearly three decades, Berkeley Lab Computing Sciences Area staff from the Computational Research Division, ESnet, and NERSC will share their expertise with the global HPC community at SC20. Read More »

Cornovirus illustration courtesy USCDC

Summer Students Tackle COVID-19

October 21, 2020

As a part of the Computational Research Division’s summer student program at Lawrence Berkeley National Laboratory, four graduate students from the University of California, Davis (UC Davis) researched a method to allow doctors and researchers to use valuable health information in the battle against COVID-19 while also preserving patient privacy in electronic records. Read More »

Deb Agarwal

CRD’s Deb Agarwal Named to Committee to Help Shape California State Water Data Structure

October 19, 2020

Deb Agarwal, head of the Data Science and Technology Department in Berkeley Lab's Computational Research Division, is one of 11 members named to the inaugural steering committee of the California Water Data Consortium. Read More »

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Berkeley Lab AI Autonomously Steers Data Acquisition at Neutron Scattering Facility in France

October 6, 2020

A self-learning algorithm developed by the CAMERA group at Berkeley Lab has enabled researchers at the Institut Laue-Langevin to for the first time run an autonomous data analysis during a neutron scattering experiment. Read More »

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One R&D100 Award Win and One Finalist for Berkeley Lab Computing Sciences

September 30, 2020

Two technologies developed by Berkeley Lab Computing Sciences staff are finalists for the 2020 R&D100 Awards: ESnet Portal and Institute for the Design of Advanced Energy Systems (IDAES). The winners will be announced virtually on October 1. Read More »

Silvia Miramontes

CRD's Silvia Miramontes: Merging Applied Math and Machine Learning for Science

September 29, 2020

When Silvia Miramontes – one of the newest computer systems engineers in Berkeley Lab’s Computational Research Division – visualizes something, it tends to materialize. Read More »

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New HPC4EI Project Aims to Cut Energy Costs of Painting Cars

September 23, 2020

Researchers from CRD's Mathematics Group are partnering with one of the world’s largest paint manufacturers on a new High Performance Computing for Energy Innovation project that aims to couple advanced mathematics with HPC resources to model the paint drying process and guide the development of new energy-efficient coatings systems for the automotive industry. Read More »