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A.I. Enables Self-Driving Data Acquisition

self driving data

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

IDAES Honored with R&D100 Award

IDAES Integrated Platform 1

The U.S. Department of Energy’s Institute for the Design of Advanced Energy Systems (IDAES) is the winner of a prestigious 2020 R&D 100 award, which recognizes the developers of the 100 most technologically significant products introduced into the marketplace in the last year. » Read More

New Project Aims to Cut Energy Costs of Painting Cars

HPC4Mfg car painting fig 2

CRD mathematicians are working with PPG Industries to model the paint drying process and guide the development of new energy-efficient coating systems for the automotive industry. » Read More

Reva Jambunathan Wins Berkeley Lab SLAM Competition

Reva Jambunathan 2020 SLAM winner

Jambunathan, the only SLAM finalist from the Computing Sciences Area, won the $3,000 purse with a lay-friendly explanation of her research into pulsars using AMRex and WarpX codes developed at CRD. » Read More

ENDURABLE: Aggregate Data Standard for AI Modeling

Computational Biosciences Group Photo 03 29 2019

The U.S. Department of Energy announced $8.5 million for projects to make artificial intelligence models and data more accessible and reusable. One of these newly funded projects is “ENDURABLE: Benchmark datasets for AI with queryable metadata,” spearheaded by Berkeley Lab’s Computational Research Division. » Read More

CRD staff hold leadership roles in SciDAC Institutes

EsmondP Ng Lenny Oliker

Over the next five years, the U.S. Department of Energy will provide $57.5 million for two Scientific Discovery through Advanced Computing Institutes. And Berkeley Lab staff will continue to hold leadership positions in both—Esmond Ng as director of FASTMath and Lenny Oliker as deputy director of RAPIDS2. » Read More

News

qce20 best paper award

QCE20 Best Paper Includes CRD Quantum Expertise

October 28, 2020

A team of researchers that includes CRD's Costin Iancu was honored with a best paper award at the 2020 IEEE International Conference on Quantum Computing and Engineering.

10.5 million atom nanocrystalline copper molecular dynamics model

Machine Learning Software Enhances Molecular Dynamics Modeling

October 21, 2020

CRD researchers are co-authors on a research paper that introduces a new machine-learning-based software package for molecular dynamics modeling that is a finalist for the Gordon Bell Prize at SC20 in November.


Berkeley Lab Summer Students Tackle COVID 19

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.

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.


Daniela Ushizima

CRD's Ushizima to Discuss Using ML Algorithms to Screen Lung Images for COVID-19

October 15, 2020

On Friday, Oct. 16, Berkeley Lab scientist Daniela Ushizima will discuss early results of using computer vision algorithms to scan medical images of lungs and automatically identify lesions that could indicate COVID-19 at the 2020 Annual Meeting of the Academic Data Science Association.

201006 Self learning Vignette

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.