See articles listed chronologically

Learning climate

August 2023 Updated: August 2023

A Colorado State fellow employs machine learning for climate modeling, putting provenance behind predictions.


Statistically significant

July 2023 Updated: August 2023

A LANL statistician helps cosmologists and epidemiologists grasp their data and answer vital questions.


Cutting carbon, blocking blooms

June 2023 Updated: June 2023

Besides bioplastics research, the LANL Biofuels and Bioproducts team is studying carbon neutrality and applying machine learning to climate change-exacerbated algal blooms. The lab spearheads a DOE project that will bring carbon neutrality to New Mexico, Arizona, Utah, Colorado, Wyoming and Montana under the Intermountain West Energy Sustainability and Transitions (I-WEST) initiative. The region is […]


Planet-friendly plastics

June 2023 Updated: June 2023

A Los Alamos team applies machine learning to find environmentally benign plastics.


A split nanosecond

May 2023 Updated: May 2023

Sandia supercomputer simulations of atomic behavior under extreme conditions advances materials modeling.


A colorful career

April 2023 Updated: April 2023

Argonne’s Joe Insley combines art and computer science to build intricate images and animations from supercomputer simulations.


Mapping the metastable

March 2023 Updated: March 2023

An Argonne National Laboratory group uses supercomputers to model known and mysterious atomic arrangements, revealing useful properties.


The human factor

January 2023 Updated: January 2023

A PNNL team works to improve AI and machine learning tools so that grid operators can feel confident using them.


Simulation looped in

December 2022 Updated: December 2022

CogSim, a machine-learning approach modeled on the brain, coordinates simulations, experiments and data-analysis to yield results in fields from fusion energy to COVID-19.


Justice adjustments

November 2022 Updated: November 2022

An Oak Ridge team applies supercomputing to environmental justice in a changing climate.


Decoding disease

October 2022 Updated: October 2022

A CSGF fellow doggedly applies computational models to COVID-19 and cancer.


River of data

September 2022 Updated: September 2022

Oak Ridge-developed open-source software is helping model watersheds and related climate issues the world over


Boxing in software

August 2022 Updated: August 2022

At Los Alamos, novel container software is accelerating innovative science while ensuring supercomputer reliability and uptime.


Fast fade

February 2022 Updated: February 2022

A DOE CSGF recipient studies transients, celestial objects that appear suddenly and rapidly fade.


Physics on autopilot

November 2021 Updated: November 2021

Brookhaven National Lab applies AI to make big experiments autonomous.


Optimized for discovery

October 2021 Updated: August 2022

A computational mathematician finds a national lab ideal for a highly collaborative career.


Happy returns

September 2021 Updated: September 2021

Sandia’s Humberto Silva III applies uncertainty quantification to model smooth atmospheric reentry from space.


Crafting community

August 2021 Updated: August 2021

The Department of Energy Computational Science Graduate Fellowship celebrates 30 years of cultivating leaders and innovators.


New podcast features labs and fellows

July 2021 Updated: July 2021

Series celebrates DOE Computational Science Fellowship’s 30th anniversary.


Extreme 3-D

June 2021 Updated: June 2021

Argonne’s Advanced Photon Source upgrades to large-sample 3-D imaging beyond the depth of field – with assistance from high-performance computing.


Targeting tumors

April 2021 Updated: April 2021

Cancer biology gets the supercomputing treatment on Oak Ridge’s Summit and Lawrence Livermore’s Sierra.


Super-connected HPC

March 2021 Updated: March 2021

The superfacility concept links high-performance computing capabilities across multiple scientific locations for scientists in a range of disciplines.


Turbocharging data

February 2021 Updated: February 2021

Pairing large-scale experiments with high-performance computing can reduce data processing time from several hours to minutes.


On guard

January 2021 Updated: January 2021

A Pacific Northwest National Laboratory team is testing machine-learning methods that would detect and possibly block supercomputer intruders.


Simulating computing’s future

January 2021 Updated: January 2021

Among Ang Li’s many other projects at Pacific Northwest National Laboratory, he and his colleagues also have developed a quantum circuit simulator. Quantum machines are arguably the computers of the future. They use the properties of quantum physics to store and manipulate data, letting them perform much faster than conventional machines. Standard computers store data […]