News
Summer Students Tackle COVID-19
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 »
Machine Learning Software Enhances Molecular Dynamics Modeling
CRD researchers are co-authors on a research paper that introduces a new machine-learning-based software package for molecular dynamics modeling and is a finalist for the Gordon Bell Prize at SC20 in November. Read More »
CRD’s Deb Agarwal Named to Committee to Help Shape California State Water Data Structure
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 »
Berkeley Lab AI Autonomously Steers Data Acquisition at Neutron Scattering Facility in France
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 »
One R&D100 Award Win and One Finalist for Berkeley Lab Computing Sciences
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 »
CRD's Silvia Miramontes: Merging Applied Math and Machine Learning for Science
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 »
New HPC4EI Project Aims to Cut Energy Costs of Painting Cars
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 »
CRD Summer Students, Advisor Use Virtual Visits to Conduct Real Research
Although Computing Sciences canceled on-site student research projects, many of the students accepted for the summer were able to gain valuable research experience and knowledge through virtual collaborations with Berkeley Lab mentors. Read More »
CS Postdoc Wins Berkeley Lab SLAM
What starts out 10 times the size of our sun, runs out of fuel, and collapses into a dense object about the size of Berkeley? Answering that question landed postdoc Revathi Jambunathan of the Center for Computational Sciences and Engineering first place in the annual Berkeley Lab SLAM held Thursday, Sept. 17. Read More »
Machine Learning for Science Campaign
As experiments produce vastly more data than ever before, machine learning methods tailored to scientific data provide powerful tools for analyzing these complex datasets. Berkeley Lab researchers have been addressing these challenges for the last several years, and in August-September 2020, we featured some of their projects and postdocs in a social media campaign. Read More »